<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="#embeddedXSL"?>
<dcc:digitalCalibrationCertificate xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xmlns:dcc="https://ptb.de/dcc" xmlns:si="https://ptb.de/si"
  xsi:schemaLocation="https://ptb.de/dcc https://www.ptb.de/dcc/v3.3.0/dcc.xsd"
  schemaVersion="3.3.0">
  <dcc:administrativeData>
    <!-- ~~~ -->
    <dcc:dccSoftware>
      <dcc:software>
        <dcc:name>
          <dcc:content>GEMIMEG Tool</dcc:content>
        </dcc:name>
        <dcc:release>v1.1.2</dcc:release>
        <dcc:type>application</dcc:type>
      </dcc:software>
      <dcc:software>
        <dcc:name>
          <dcc:content>dccTableTool</dcc:content>
        </dcc:name>
        <dcc:release>0.3.0</dcc:release>
        <dcc:type>library</dcc:type>
      </dcc:software>
    </dcc:dccSoftware>
    <!-- ~~~ -->
    <dcc:coreData>
      <dcc:countryCodeISO3166_1>DE</dcc:countryCodeISO3166_1>
      <dcc:usedLangCodeISO639_1>en</dcc:usedLangCodeISO639_1>
      <dcc:usedLangCodeISO639_1>de</dcc:usedLangCodeISO639_1>
      <dcc:mandatoryLangCodeISO639_1>de</dcc:mandatoryLangCodeISO639_1>
      <dcc:uniqueIdentifier>ce5174ed-7dd5-45a9-a607-12966290f823</dcc:uniqueIdentifier><!-- Please
      use a newly generated UUID for every measurement. The dcc:uniqueIdentifier is used as an
      identifier also when working with multiple different DCCs.-->
      <dcc:identifications>
        <dcc:identification refType="PTB_geschäftszeichen">
          <dcc:issuer>calibrationLaboratory</dcc:issuer>
          <dcc:value>1.71-1254/0622</dcc:value>
          <dcc:name>
            <dcc:content lang="de">Geschäftszeichen</dcc:content>
            <dcc:content lang="en">Reference No.</dcc:content>
          </dcc:name>
        </dcc:identification>
        <dcc:identification refType="PTB_kalibrierzeichen">
          <dcc:issuer>calibrationLaboratory</dcc:issuer>
          <dcc:value>PTB-17042-2022</dcc:value>
          <dcc:name>
            <dcc:content lang="en">Calibration mark</dcc:content>
            <dcc:content lang="de">Kalibrierzeichen</dcc:content>
          </dcc:name>
        </dcc:identification>
      </dcc:identifications>
      <dcc:beginPerformanceDate>2022-07-08</dcc:beginPerformanceDate>
      <dcc:endPerformanceDate>2022-07-08</dcc:endPerformanceDate>
      <dcc:performanceLocation>laboratory</dcc:performanceLocation>
      <dcc:issueDate>2022-09-06</dcc:issueDate>
    </dcc:coreData>
    <!-- ~~~ -->
    <dcc:items>
      <dcc:item refType="vibration_accelerationReferenceStandard">
        <dcc:name>
          <dcc:content lang="de">Beschleunigungsaufnehmer-Bezugsnormal</dcc:content>
          <dcc:content lang="en">Reference Standard Accelerometer</dcc:content>
        </dcc:name>
        <dcc:description>
        <!-- maybe a reftype would be and good idea for the item Photos-->
          <dcc:file>
            <dcc:name>
              <dcc:content lang="de">Foto des Aufnehmers</dcc:content>
              <dcc:content lang="en">Photo of the accelerometer</dcc:content>
            </dcc:name>
          <dcc:fileName>8305.png</dcc:fileName>
          <dcc:mimeType>image/png</dcc:mimeType>
          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    <dcc:respPersons>
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          <dcc:name>
            <dcc:content>Dr.-Ing. Leonard Klaus</dcc:content>
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      <dcc:respPerson>
        <dcc:person>
          <dcc:name>
            <dcc:content>Dipl.-Ing (FH) Denis Nordmann</dcc:content>
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        </dcc:person>
      </dcc:respPerson>
    </dcc:respPersons>
    <!-- ~~~ -->
    <dcc:customer>
      <dcc:name>
        <dcc:content>Accelerator Meas GmbH</dcc:content>
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      <dcc:eMail>info@acclemeas.de</dcc:eMail>
      <dcc:phone>+4912345123456</dcc:phone>
      <dcc:fax>+491235123450</dcc:fax>
      <dcc:location>
        <dcc:city>Hirschbach im Mühlkreis</dcc:city>
        <dcc:countryCode>DE</dcc:countryCode>
        <dcc:postCode>42420</dcc:postCode>
        <dcc:street>Musterstraße</dcc:street>
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    <!-- ~~~ -->
    <dcc:statements>
      <dcc:statement refType="basic_MRA">
        <dcc:name>
          <dcc:content lang="de">CIPM-MRA</dcc:content>
          <dcc:content lang="en">CIPM-MRA</dcc:content>
        </dcc:name>
        <dcc:description>
          <dcc:content lang="de">CIPM-MRA Abkommen über die gegenseitige Anerkennung</dcc:content>
          <dcc:content lang="en">CIPM-MRA Mutual Recognition Arrangement</dcc:content>
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        <dcc:convention>CIPM-MRA</dcc:convention>
        <dcc:reference>391 00B p</dcc:reference><!--Dokumentennummer
        an neu zu vergebende Nummer anpassen-->
        <dcc:declaration>
          <dcc:content lang="de">Die Physikalisch-Technische Bundesanstalt (PTB) in Braunschweig und Berlin ist das nationale Metrologieinstitut und die technische Oberbehörde der Bundesrepublik Deutschland für das Messwesen. Die PTB gehört zum Geschäftsbereich des Bundesministeriums für Wirtschaft und Klimaschutz. Sie erfüllt die Anforderungen an Kalibrier- und Prüflaboratorien auf der Grundlage der DIN EN ISO/IEC 17025.</dcc:content>
          <dcc:content lang="de">Zentrale Aufgabe der PTB ist es, die gesetzlichen Einheiten in Übereinstimmung mit dem Internationalen Einheitensystem (SI) darzustellen, zu bewahren und weiterzugeben. Die PTB steht damit an oberster Stelle der metrologischen Hierarchie in Deutschland. Die Kalibrierscheine der PTB dokumentieren eine auf nationale Normale rückgeführte Kalibrierung.</dcc:content>
          <dcc:content lang="de">Dieser Ergebnisbericht ist in Übereinstimmung mit den Kalibrier- und Messmöglichkeiten (CMCs), wie sie im Anhang C des gegenseitigen Abkommens (CIPM MRA) des Internationalen Komitees für Maße und Gewichte enthalten sind. Im Rahmen des CIPM MRA wird die Gültigkeit der Ergebnisberichte von allen teilnehmenden Instituten für die in der KCDB spezifizierten Messgrößen, Messbereiche und Messunsicherheiten gegenseitig anerkannt (nähere Informationen unter http://www.bipm.org/kcdb/).</dcc:content>
          <dcc:content lang="de">Diese Aussage und das CIPM-MRA-Logo beziehen sich nur auf die Messergebnisse in diesem Kalibrierschein.</dcc:content>
          <dcc:content lang="en">The Physikalisch-Technische Bundesanstalt (PTB) in Braunschweig and Berlin is the National Metrology Institute and the supreme technical authority of the Federal Republic of Germany for metrology. The PTB comes under the auspices of the Federal Ministry for Economic Affairs and Climate Action. It meets the requirements for calibration and testing laboratories as defined in DIN EN ISO/IEC 17025.</dcc:content>
          <dcc:content lang="en">The central task of PTB is to realize, to maintain and to disseminate the legal units in compliance with the International System of Units (SI). PTB thus is at the top of the metrological hierarchy in Germany. The calibration certificates issued by PTB document a calibration traceable to national measurement standards.</dcc:content>
          <dcc:content lang="en">This certificate is consistent with the Calibration and Measurement Capabilities (CMCs) that are included in Appendix C of the Mutual Recognition Arrangement (CIPM MRA) drawn up by the International Committee for Weights and Measures (CIPM). Under the CIPM MRA, all participating institutes recognize the validity of each other’s calibration and measurement certificates for the quantities, ranges and measurement uncertainties specified in the KCDB (for details see http://www.bipm.org/kcdb).</dcc:content>
          <dcc:content lang="en">The CIPM MRA Logo and this statement attest only to the measurement component of the certificate.</dcc:content>
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          </dcc:file>
        </dcc:declaration>
        <dcc:valid>true</dcc:valid>
      </dcc:statement>
      <dcc:statement refType="basic_decisionRule">
        <dcc:reference>customer</dcc:reference>
        <dcc:declaration>
          <dcc:name>
          <dcc:content lang="de">Konformitäts Entscheidungsregel</dcc:content>
            <dcc:content lang="en">Decision Rule</dcc:content>
          </dcc:name>
          <dcc:content lang="de">Abweichung des Ladungsübertragungskoeffizienten um weniger als 5 % vom Betrag des ladungsübertragungskoeffizienten der niedrigsten Frequenz ohne Berücksichtigung der Messunsicherheit.</dcc:content>
          <dcc:content lang="en">Deviation of the Charge transfer coefficients by less than 5 % from the value of the Charge transfer coefficients of the lowest frequency without taking the measurement uncertainty into account.</dcc:content>
        </dcc:declaration>
        <dcc:data>
          <dcc:quantity refType="basic_minimum basic_toleranceUncertaintyRatio">
            <dcc:name>
              <dcc:content lang="en">Min. TUR</dcc:content>
            </dcc:name>
            <dcc:description>
              <dcc:content lang="en">Minimum allowed Test Uncertainty ratio - for smaller TUR values, no conformity statement is made</dcc:content>
            </dcc:description>
            <si:real>
              <si:value>21</si:value>
              <si:unit>\one</si:unit>
            </si:real>
          </dcc:quantity>
          <dcc:quantity refType="basic_maximum basic_probabilityFalseAccept">
            <dcc:name>
              <dcc:content lang="en">Max PFA</dcc:content>
            </dcc:name>
            <dcc:description>
              <dcc:content lang="en">Maximum probability of false acceptance associated with the applied decision rule</dcc:content>
            </dcc:description>
            <si:real>
              <si:value>0.5</si:value>
              <si:unit>\one</si:unit>
            </si:real>
          </dcc:quantity>
          <dcc:quantity refType="basic_maximum basic_probabilityFalseReject">
            <dcc:name>
              <dcc:content lang="en">Max. PFR</dcc:content>
            </dcc:name>
            <dcc:description>
              <dcc:content lang="en">Maximum probability of false rejection associated with the applied decision rule</dcc:content>
            </dcc:description>
            <si:real>
              <si:value>0.5</si:value>
              <si:unit>\one</si:unit>
            </si:real>
          </dcc:quantity>
        </dcc:data>
      </dcc:statement>

    </dcc:statements>

  </dcc:administrativeData>

  <!-- ~~~~~~ -->

  <dcc:measurementResults>
    <dcc:measurementResult>
      <dcc:name>
        <dcc:content lang="de">Messergebnisse</dcc:content>
        <dcc:content lang="en">Measurement results</dcc:content>
      </dcc:name>
      <!-- ~~~ -->
      <dcc:usedMethods>
        <dcc:usedMethod refType="basic_methodMeasurementUncertainty">
          <dcc:name>
            <dcc:content lang="de">Erweiterte Messunsicherheit</dcc:content>
            <dcc:content lang="en">Expanded uncertainty</dcc:content>
          </dcc:name>
          <dcc:description>
            <dcc:content lang="de">Angegeben ist die erweiterte Messunsicherheit, die sich aus der Standardmessunsicherheit durch Multiplikation mit dem Erweiterungsfaktor k=2 ergibt. Sie wurde gemäß dem „Guide to the Expression of Uncertainty in Measurement (GUM)“ ermittelt. Der Wert der Messgröße liegt mit einer Überdeckungswahrscheinlichkeit von annähernd 95 % im zugeordneten Werteintervall.</dcc:content>
            <dcc:content lang="en">The expanded measurement uncertainty is specified, which is calculated by multiplying the standard measurement uncertainty by the coverage factor k=2. It was determined in accordance with the “Guide to the Expression of Uncertainty in Measurement (GUM)”. The value of the measured variable lies within the assigned value interval with a coverage probability of approximately 95 %.</dcc:content>
          </dcc:description>
          <dcc:norm>JCGM 100:2008</dcc:norm>
          <dcc:reference>https://doi.org/10.59161/JCGM100-2008E</dcc:reference>
        </dcc:usedMethod>
        <dcc:usedMethod refType="vibration_primarySineCalibration">
          <dcc:name>
            <dcc:content lang="en">Primary vibration calibration with Laser Interferometry using Sine-approximation</dcc:content>
            <dcc:content lang="de">Primäre Schwingungskalibration durch Laserinterferometrie unter Verwendung von Sinus Approximation</dcc:content>
          </dcc:name>
          <dcc:description>
            <dcc:content lang="en">The measurements of the vibration displacement amplitude and the phase shift Δφqa of the complex charge transfer coefficient Sqa were performed using the sinusoidal compensation method. In order to get from the instantaneous values of the vibration displacement to the amplitude and zero phase angle, the approximation is performed with a sinusoidal approach. A computerized transient recorder is used to synchronously acquire the two-channel interferometer output signal and the output signal of the normal measurement chain.
The calibration procedure is in accordance with the corresponding standard ISO 16063-11:1999.
The acceleration acting on the transducer was calculated from the measured vibration displacement amplitude and the known excitation frequency.
The magnitude Sqa of the complex charge transfer coefficient Sqa is obtained as the ratio of the amplitude of the output voltage of the normal electrode to the amplitude of the excitation acceleration. The output charge of the transducer was determined using a calibrated normal charge amplifier.
The phase shift Δφqa of the complex charge transfer coefficient Sqa is obtained as the difference between the zero phase angle of the output charge φq and the zero phase angle of the acceleration φa.
According to ISO 2041, the phase shift is defined as Δφqa = φq - φa. The acceleration vector is considered positive if it is directed from its mounting surface to the accelerometer.</dcc:content>
            <dcc:content lang="de">Die Messungen der Schwingwegamplitude und der Phasenverschiebung Δφqa des komplexen Ladungsübertragungskoeffizienten Sqa wurden nach dem Sinusausgleichsverfahren ausgeführt. Um von den Augenblickswerten des Schwingwegs zu der Amplitude und dem Nullphasenwinkel zu gelangen, wird die Approximation mit einem Sinusansatz durchgeführt. Mit einem rechnergestützten Transientenrekorder werden das zweikanalige Interferometer-Ausgangssignal und das Ausgangssignal der Normal-Messkette synchron erfasst.
Das Kalibrierverfahren ist in Übereinstimmung mit der entsprechenden Norm ISO 16063-11:1999.
Die auf den Aufnehmer einwirkende Beschleunigung wurde aus der gemessenen Schwingwegamplitude und der bekannten Anregungsfrequenz berechnet.
Der Betrag Sqa des komplexen Ladungsübertragungskoeffizienten Sqa ergibt sich als Verhältnis der Amplitude der Ausgangsspannung der Normal-Messkette zur Amplitude der Anregungsbeschleunigung. Die Ausgangsladung des Aufnehmers wurde mit Hilfe eines kalibrierten Normal-Ladungsverstärkers bestimmt.
Die Phasenverschiebung Δφqa des komplexen Ladungsübertragungskoeffizienten Sqa ergibt sich als Differenz aus dem Nullphasenwinkel der Ausgangsladung φq und dem Nullphasenwinkel der Beschleunigung φa.
Entsprechend ISO 2041 ist die Phasenverschiebung definiert zu Δφqa = φq - φa. Der Beschleunigungsvektor wird als positiv betrachtet, wenn er von seiner Montagefläche zum Beschleunigungs-aufnehmer gerichtet ist.</dcc:content>
          </dcc:description>
          <dcc:norm>ISO 16063-11:1999</dcc:norm>
          <dcc:reference>https://www.iso.org/standard/24951.html</dcc:reference>
          <!-- diese URL ist leider kein presistent Identifyer im engeren Sinne. -->
        </dcc:usedMethod>
      </dcc:usedMethods>
      <!-- ~~~ -->
      <dcc:measuringEquipments>
        <!-- ~~ -->
        <dcc:measuringEquipment refType="vibration_chargeAmplifier">
          <dcc:name>
            <dcc:content lang="de">Ladungsverstärker</dcc:content>
            <dcc:content lang="en">Charge amplifier</dcc:content>
          </dcc:name>
          <dcc:manufacturer>
            <dcc:name>
              <dcc:content lang="en">Brüel &amp; Kjær Vibro A / S.</dcc:content>
              <dcc:content lang="de">Brüel &amp; Kjær Vibro A / S.</dcc:content>
            </dcc:name>
            <dcc:location>
              <dcc:countryCode>DK</dcc:countryCode>
            </dcc:location>
          </dcc:manufacturer>
          <dcc:model>2650</dcc:model>
          <dcc:identifications>
            <dcc:identification refType="basic_serialNo">
              <dcc:issuer>manufacturer</dcc:issuer>
              <dcc:value>1502245</dcc:value>
              <dcc:name>
                <dcc:content lang="de">Serien Nr.</dcc:content>
                <dcc:content lang="en">Serial No.</dcc:content>
              </dcc:name>
            </dcc:identification>
          </dcc:identifications>
          <dcc:measuringEquipmentQuantities>
            <dcc:measuringEquipmentQuantity refType="vibration_HPFreq">
              <dcc:name>
                <dcc:content lang="en">High pass filter corner frequency</dcc:content>
                <dcc:content lang="de">Hochpassfilter Grenzfrequenz</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>0.3</si:value>
                <si:unit>\hertz</si:unit>
              </si:real>
            </dcc:measuringEquipmentQuantity>
            <dcc:measuringEquipmentQuantity refType="vibration_LPFreq">
              <dcc:name>
                <dcc:content lang="de">Tiefpassfilter Grenzfrequenz</dcc:content>
                <dcc:content lang="en">Low pass filter corner frequency</dcc:content>
              </dcc:name>
              <dcc:noQuantity>
                <dcc:content lang="en">Lin.</dcc:content>
                <dcc:content lang="de">Lin.</dcc:content>
              </dcc:noQuantity>
            </dcc:measuringEquipmentQuantity>
            <dcc:measuringEquipmentQuantity refType="vibration_sensitivity">
              <dcc:name>
                <dcc:content lang="en">Transducer sensitivity</dcc:content>
                <dcc:content lang="de">Ladungsverstärkungsfaktor</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>1.000</si:value>
                <si:unit>\pico\coulomb\per\one</si:unit>
              </si:real>
            </dcc:measuringEquipmentQuantity>
            <dcc:measuringEquipmentQuantity refType="vibration_chargeAmplifierTransducerRange">
              <dcc:name>
                <dcc:content lang="en">Transducer range</dcc:content>
                <dcc:content lang="de">Messbereich</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>0.1</si:value>
                <si:unit>\volt\per\one</si:unit>
              </si:real>
            </dcc:measuringEquipmentQuantity>
            <dcc:measuringEquipmentQuantity>
              <dcc:name>
                <dcc:content lang="en">Calibration capacitance</dcc:content>
                <dcc:content lang="de">Kalibrier-Kapazität</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>193</si:value>
                <si:unit>\pico\farad</si:unit>
                <si:measurementUncertaintyUnivariate>
                  <si:expandedMU>
                    <si:valueExpandedMU>2</si:valueExpandedMU>
                    <si:coverageFactor>2</si:coverageFactor>
                    <si:coverageProbability>0.95</si:coverageProbability>
                    <si:distribution>normal</si:distribution>
                  </si:expandedMU>
                </si:measurementUncertaintyUnivariate>
              </si:real>
            </dcc:measuringEquipmentQuantity>
          </dcc:measuringEquipmentQuantities>
        </dcc:measuringEquipment>
        <!-- ~~ -->
        <dcc:measuringEquipment refType="vibration_vibrationExciter">
          <dcc:name>
            <dcc:content lang="en">Vibration exciter</dcc:content>
            <dcc:content lang="de">Schwingerreger</dcc:content>
          </dcc:name>
          <dcc:manufacturer>
            <dcc:name>
              <dcc:content lang="en">SPEKTRA Schwingungstechnik und Akustik GmbH Dresden</dcc:content>
              <dcc:content lang="de">SPEKTRA Schwingungstechnik und Akustik GmbH Dresden</dcc:content>
            </dcc:name>
            <dcc:phone>+49351400240</dcc:phone>
            <dcc:location>
              <dcc:city>Dresden</dcc:city>
              <dcc:countryCode>DE</dcc:countryCode>
              <dcc:postCode>01189</dcc:postCode>
              <dcc:street>Heidelberger Straße</dcc:street>
              <dcc:streetNo>12</dcc:streetNo>
            </dcc:location>
          </dcc:manufacturer>
          <dcc:model>SE-09</dcc:model>
          <dcc:identifications>
            <dcc:identification refType="basic_serialNo">
              <dcc:issuer>manufacturer</dcc:issuer>
              <dcc:value>718</dcc:value>
              <dcc:name>
                <dcc:content lang="en">Serial No.</dcc:content>
                <dcc:content lang="de">Seriennummer</dcc:content>
              </dcc:name>
            </dcc:identification>
          </dcc:identifications>
        </dcc:measuringEquipment>
        <!-- ~~ -->
        <dcc:measuringEquipment refType="vibration_calSystem">
          <dcc:name>
            <dcc:content lang="en">Linear acceleration calibration system</dcc:content>
            <dcc:content lang="de">Schwingbeschleunigungskalibriersystem</dcc:content>
          </dcc:name>
          <dcc:manufacturer>
            <dcc:name>
              <dcc:content lang="en">Physikalisch-Technische Bundesanstalt</dcc:content>
              <dcc:content lang="de">Physikalisch-Technische Bundesanstalt</dcc:content>
            </dcc:name>
            <dcc:eMail>acceleration@ptb.de</dcc:eMail>
            <dcc:location>
              <dcc:street>Bundesalle</dcc:street>
              <dcc:streetNo>100</dcc:streetNo>
            </dcc:location>
          </dcc:manufacturer>
          <dcc:model>Hochfrequenz-Beschleunigungs-Normalmesseinrichtung</dcc:model>
        </dcc:measuringEquipment>
      </dcc:measuringEquipments>
      <!-- ~~~ -->
      <dcc:influenceConditions>
        <dcc:influenceCondition>
          <dcc:name>
            <dcc:content lang="de">Umgebungstemperatur</dcc:content>
            <dcc:content lang="en">Ambient temperature</dcc:content>
          </dcc:name>
          <dcc:description>
            <dcc:content lang="de">Die Werte wurden während der Kalibrierung überwacht.</dcc:content>
            <dcc:content lang="en">Values were monitored during calibration.</dcc:content>
          </dcc:description>
          <dcc:data>
            <dcc:quantity refType="basic_temperature">
              <dcc:name>
                <dcc:content lang="en">Room temperature during calibration</dcc:content>
                <dcc:content lang="de">Raumtemperatur währenden der Kalibration</dcc:content>
              </dcc:name>
              <si:hybrid>
                <si:real>
                  <si:value>296.15</si:value>
                  <si:unit>\kelvin</si:unit>
                  <si:measurementUncertaintyUnivariate>
                    <si:expandedMU>
                      <si:valueExpandedMU>1</si:valueExpandedMU>
                      <si:coverageFactor>1.73</si:coverageFactor>
                      <si:coverageProbability>0.95</si:coverageProbability>
                      <si:distribution>rectangular</si:distribution>
                    </si:expandedMU>
                  </si:measurementUncertaintyUnivariate>
                </si:real>
                <si:real>
                  <si:value>23.0</si:value>
                  <si:unit>\degreecelsius</si:unit>
                  <si:measurementUncertaintyUnivariate>
                    <si:expandedMU>
                      <si:valueExpandedMU>1</si:valueExpandedMU>
                      <si:coverageFactor>1.73</si:coverageFactor>
                      <si:coverageProbability>0.95</si:coverageProbability>
                      <si:distribution>rectangular</si:distribution>
                    </si:expandedMU>
                  </si:measurementUncertaintyUnivariate>
                </si:real>
              </si:hybrid>
            </dcc:quantity>
          </dcc:data>
        </dcc:influenceCondition>
        <dcc:influenceCondition>
          <dcc:name>
            <dcc:content lang="de">Relative Ungebungsluftfeuchtigkeit</dcc:content>
            <dcc:content lang="en">Ambient relative humidity</dcc:content>
          </dcc:name>
          <dcc:description>
            <dcc:content lang="de">Die Werte wurden während der Kalibrierung überwacht.</dcc:content>
            <dcc:content lang="en">Values were monitored during calibration.</dcc:content>
          </dcc:description>
          <dcc:data>
            <dcc:quantity refType="basic_humidityRelative">
              <dcc:name>
                <dcc:content lang="en">Ambient humidity</dcc:content>
                <dcc:content lang="de">Ungebungsluftfeuchtigkeit</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>60</si:value>
                <si:unit>\percent</si:unit>
                <si:measurementUncertaintyUnivariate>
                  <si:expandedMU>
                    <si:valueExpandedMU>15</si:valueExpandedMU>
                    <si:coverageFactor>1.73</si:coverageFactor>
                    <si:coverageProbability>0.95</si:coverageProbability>
                    <si:distribution>rectangular</si:distribution>
                  </si:expandedMU>
                </si:measurementUncertaintyUnivariate>
              </si:real>
            </dcc:quantity>
          </dcc:data>
        </dcc:influenceCondition>
        <!-- ~~~ -->
        <dcc:influenceCondition refType="vibration_mountingConditions">
          <dcc:name>
            <dcc:content lang="en">Sensor mounting conditions</dcc:content>
            <dcc:content lang="de">Sensormontagebediungen</dcc:content>
          </dcc:name>
          <dcc:data>
            <dcc:quantity refType="vibration_mountingTorque">
              <dcc:name>
                <dcc:content lang="en">Mounting torque</dcc:content>
                <dcc:content lang="de">Anzugdrehmoment</dcc:content>
              </dcc:name>
              <si:real>
                <si:value>2</si:value>
                <si:unit>\newton\metre</si:unit>
                <si:measurementUncertaintyUnivariate>
                  <si:expandedMU>
                    <si:valueExpandedMU>0.1</si:valueExpandedMU>
                    <si:coverageFactor>2</si:coverageFactor>
                    <si:coverageProbability>0.95</si:coverageProbability>
                    <si:distribution>normal</si:distribution>
                  </si:expandedMU>
                </si:measurementUncertaintyUnivariate>
              </si:real>
            </dcc:quantity>
            <dcc:quantity refType="vibration_mountingLaserPositiones">
              <dcc:name>
                <dcc:content lang="en">Ankopplung des Aufnehmers und Laser-Positionen</dcc:content>
                <dcc:content lang="de">Mounting of the sensore and laser spot position</dcc:content>
              </dcc:name>
              <dcc:noQuantity>
                <dcc:content lang="en">The laser beams of the interferometers were adjusted symmetrically and diametrically next to the transducer on the oscillating part.</dcc:content>
                <dcc:content lang="de">Die Laserstrahlen der Interferometer wurden symmetrisch und diametral neben dem Aufnehmer auf das Schwingteil justiert.</dcc:content>
              </dcc:noQuantity>
            </dcc:quantity>
            <dcc:quantity
              refType="vibration_orientationInGravityfield vibration_OrientationInGravityfieldVertical">
              <dcc:name>
                <dcc:content lang="de">Ausrichtung</dcc:content>
                <dcc:content lang="en">Orientation</dcc:content>
              </dcc:name>
              <dcc:noQuantity>
                <dcc:name>
                  <dcc:content lang="en">Orientation</dcc:content>
                  <dcc:content lang="de">Ausrichtung</dcc:content>
                </dcc:name>
                <dcc:content lang="de">vertikal</dcc:content>
                <dcc:content lang="en">vertical</dcc:content>
              </dcc:noQuantity>
            </dcc:quantity>
            <dcc:quantity refType="vibration_mountingGreaseType">
              <dcc:name>
                <dcc:content lang="de">Montageschmierstofftyp</dcc:content>
                <dcc:content lang="en">Mounting grease substance</dcc:content>
              </dcc:name>
              <dcc:noQuantity>
                <dcc:content lang="en">synthetic hydrocarbon grease</dcc:content>
                <dcc:content lang="de">synthetisches Kohlenwasserstofffett</dcc:content>
              </dcc:noQuantity>
            </dcc:quantity>
            <dcc:quantity refType="vibration_transducerCoupling">
              <dcc:name>
                <dcc:content lang="de">Ankopplung des Aufnehmers </dcc:content>
                <dcc:content lang="en">Transducer coupling</dcc:content>
              </dcc:name>
              <dcc:noQuantity>
                <dcc:content lang="en">single-ended</dcc:content>
                <dcc:content lang="de">Single-ended</dcc:content>
              </dcc:noQuantity>
            </dcc:quantity>
          </dcc:data>
        </dcc:influenceCondition>
        <!-- ~~~ -->
        <dcc:influenceCondition>
          <dcc:name>
            <dcc:content lang="en">Sensor temperature</dcc:content>
            <dcc:content lang="de">Temperatur des Aufnehmers</dcc:content>
          </dcc:name>
          <dcc:data>
            <dcc:quantity refType="vibration_sensorTemperature">
              <dcc:name>
                <dcc:content lang="en">Sensor temperature</dcc:content>
                <dcc:content lang="de">Temperatur des Aufnehmers</dcc:content>
              </dcc:name>
              <si:hybrid>
                <si:real>
                  <si:value>296.15</si:value>
                  <si:unit>\kelvin</si:unit>
                  <si:measurementUncertaintyUnivariate>
                    <si:expandedMU>
                      <si:valueExpandedMU>1</si:valueExpandedMU>
                      <si:coverageFactor>1.73</si:coverageFactor>
                      <si:coverageProbability>0.95</si:coverageProbability>
                      <si:distribution>rectangular</si:distribution>
                    </si:expandedMU>
                  </si:measurementUncertaintyUnivariate>
                </si:real>
                <si:real>
                  <si:value>23.0</si:value>
                  <si:unit>\degreecelsius</si:unit>
                  <si:measurementUncertaintyUnivariate>
                    <si:expandedMU>
                      <si:valueExpandedMU>1</si:valueExpandedMU>
                      <si:coverageFactor>1.73</si:coverageFactor>
                      <si:coverageProbability>0.95</si:coverageProbability>
                      <si:distribution>rectangular</si:distribution>
                    </si:expandedMU>
                  </si:measurementUncertaintyUnivariate>
                </si:real>
              </si:hybrid>
            </dcc:quantity>
          </dcc:data>
        </dcc:influenceCondition>
      </dcc:influenceConditions>
      <!-- ~~~ -->
      <dcc:results>
        <dcc:result refType="vibration_chargeTransferFunction">
          <dcc:name>
            <dcc:content lang="de">Ladungsübertragungskoeffizienten</dcc:content>
            <dcc:content lang="en">Charge transfer coefficients</dcc:content>
          </dcc:name>
          <dcc:data>
            <dcc:list refType="basic_1IndexTable">
              <dcc:name>
                <dcc:content lang="en">Charge transfer coefficients</dcc:content>
                <dcc:content lang="de">Ladungsübertragungskoeffizienten</dcc:content>
              </dcc:name>
              <!-- ~~ -->
              <dcc:quantity refType="vibration_frequency basic_nominalValue basic_tableIndex0">
                <dcc:name>
                  <dcc:content lang="en">Excitation frequency</dcc:content>
                  <dcc:content lang="de">Anregungsfrequenz</dcc:content>
                </dcc:name>
                <si:realListXMLList>
                  <si:labelXMLList>f</si:labelXMLList>
                  <si:valueXMLList>10.0 12.5 16.0 20.0 25.0 31.5 40.0 50.0 63.0 80.0 1.0e+02
                    1.25e+02 1.6e+02 2.0e+02 2.5e+02 3.15e+02 4.0e+02 5.0e+02 6.3e+02 8.0e+02
                    1.0e+03 1.25e+03 1.6e+03 2.0e+03 2.5e+03 3.15e+03 4.0e+03 5.0e+03 6.3e+03
                    8.0e+03 1.0e+04</si:valueXMLList>
                  <si:unitXMLList>\hertz</si:unitXMLList>
                </si:realListXMLList>
              </dcc:quantity>
              <!-- ~~ -->
              <dcc:quantity refType="vibration_magnitudeTransferCoefCharge vibration_magnitude">
                <dcc:name>
                  <dcc:content lang="en">Charge transfer coefficient magnitude</dcc:content>
                  <dcc:content lang="de">Ladungsübertragungskoeffizent Betrag</dcc:content>
                </dcc:name>
                <si:realListXMLList>
                  <si:labelXMLList>S_{\text{qa}}</si:labelXMLList>
                  <si:valueXMLList>0.13017 0.13017 0.13016 0.13016 0.13017 0.13017 0.13017 0.13016
                    0.13013 0.13013 0.13012 0.13012 0.13012 0.13012 0.13014 0.13014 0.13015 0.13018
                    0.13017 0.13027 0.13033 0.13044 0.13058 0.13085 0.13124 0.13188 0.13300 0.13467
                    0.13753 0.14285 0.14968</si:valueXMLList>
                  <si:unitXMLList>\pico\coulomb\per\metre\second\tothe{-2}</si:unitXMLList>
                  <si:measurementUncertaintyUnivariateXMLList>
                    <si:expandedMUXMLList>
                      <si:valueExpandedMUXMLList>0.00026 0.00026 0.00026 0.00026 0.00026 0.00026
                        0.00026 0.00026 0.00026 0.00026 0.00026 0.00026 0.00026 0.00026 0.00026
                        0.00026 0.00026 0.00026 0.00026 0.00026 0.00026 0.00026 0.00039 0.00039
                        0.00039 0.00040 0.00040 0.00040 0.00055 0.00057 0.00060</si:valueExpandedMUXMLList>
                      <si:coverageFactorXMLList>2.0</si:coverageFactorXMLList>
                      <si:coverageProbabilityXMLList>0.95</si:coverageProbabilityXMLList>
                      <si:distributionXMLList>normal</si:distributionXMLList>
                    </si:expandedMUXMLList>
                  </si:measurementUncertaintyUnivariateXMLList>
                </si:realListXMLList>
                <dcc:relativeUncertainty>
                  <dcc:relativeUncertaintyXmlList>
                    <si:valueXMLList>0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
                      0.2 0.2 0.2 0.2 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.4</si:valueXMLList>
                    <si:unitXMLList>\percent</si:unitXMLList>
                  </dcc:relativeUncertaintyXmlList>
                </dcc:relativeUncertainty>
                <dcc:measurementMetaData>
                  <dcc:metaData refType="basic_conformity">
                    <dcc:convention>customer</dcc:convention>
                    <dcc:conformityXMLList>pass pass pass pass pass pass pass pass pass pass pass
                      pass pass pass pass pass pass pass pass pass pass pass pass pass pass pass
                      pass pass fail fail fail</dcc:conformityXMLList>
                    <dcc:data>
                      <dcc:quantity refType="basic_toleranceLimitLower">
                        <dcc:name>
                          <dcc:content lang="de">Untere Konformitäts-Grenze des Betrags des Ladungsübertragungskoeffizenten</dcc:content>
                          <dcc:content lang="en">Lower conformity limit for Charge transfer coefficient magnitude</dcc:content>
                        </dcc:name>
                        <si:realListXMLList>
                          <si:valueXMLList>0.1236615</si:valueXMLList>
                          <si:unitXMLList>\pico\coulomb\per\metre\second\tothe{-2}</si:unitXMLList>
                        </si:realListXMLList>
                      </dcc:quantity>
                      <dcc:quantity refType="basic_toleranceLimitUpper">
                        <dcc:name>
                          <dcc:content lang="de">Obere Konformitäts-Grenze des Betrags des Ladungsübertragungskoeffizenten</dcc:content>
                          <dcc:content lang="en">Upper conformity limit for Charge transfer coefficient magnitude</dcc:content>
                        </dcc:name>
                        <si:realListXMLList>
                          <si:valueXMLList>0.1366785</si:valueXMLList>
                          <si:unitXMLList>\pico\coulomb\per\metre\second\tothe{-2}</si:unitXMLList>
                        </si:realListXMLList>
                      </dcc:quantity>
                    </dcc:data>
                  </dcc:metaData>
                </dcc:measurementMetaData>
              </dcc:quantity>
              <!-- ~~ -->
              <dcc:quantity refType="vibration_phase">
                <dcc:name>
                  <dcc:content lang="de">Ladungsübertragungskoeffizent Phasenverzögerung</dcc:content>
                  <dcc:content lang="en">Charge transfer coefficient phase delay</dcc:content>
                </dcc:name>
                <si:realListXMLList>
                  <si:valueXMLList>-0.02 -0.03 -0.02 -0.02 -0.01 -0.01 -0.02 -0.01 0.00 0.01 -0.01
                    -0.01 -0.00 -0.00 0.00 0.00 0.00 0.01 0.03 0.02 0.01 -0.01 0.00 0.00 0.01 0.01
                    -0.00 -0.01 0.01 -1.97 -0.09</si:valueXMLList>
                  <si:unitXMLList>\degree</si:unitXMLList>
                  <si:measurementUncertaintyUnivariateXMLList>
                    <si:expandedMUXMLList>
                      <si:valueExpandedMUXMLList>0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20
                        0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.20 0.50 0.50 0.50 0.50
                        0.50 0.50 0.50 0.50 0.50 0.50</si:valueExpandedMUXMLList>
                      <si:coverageFactorXMLList>2.0</si:coverageFactorXMLList>
                      <si:coverageProbabilityXMLList>0.95</si:coverageProbabilityXMLList>
                      <si:distributionXMLList>normal</si:distributionXMLList>
                    </si:expandedMUXMLList>
                  </si:measurementUncertaintyUnivariateXMLList>
                </si:realListXMLList>
              </dcc:quantity>
              <!-- ~~~ -->
              <dcc:measurementMetaData>
                <dcc:metaData>
                  <dcc:name>
                    <dcc:content lang="en">Additional information</dcc:content>
                    <dcc:content lang="de">Zusätzliche Informationen</dcc:content>
                  </dcc:name>
                  <dcc:data>
                    <dcc:quantity
                      refType="vibration_accelerationAmplitude basic_nominalValue">
                      <dcc:name>
                        <dcc:content lang="en">Acceleration amplitude</dcc:content>
                        <dcc:content lang="de">Beschleunigungsamplitude</dcc:content>
                      </dcc:name>
                      <si:realListXMLList>
                        <si:labelXMLList>\hat{a}</si:labelXMLList>
                        <si:valueXMLList>5.0 5.0 5.0 10.0 10.0 10.0 10.0 50.0 50.0 50.0 50.0 50.0
                          50.0 50.0 50.0 50.0 50.0 50.0 50.0 50.0 1.0e+02 1.0e+02 1.0e+02 1.0e+02
                          1.0e+02 1.0e+02 1.0e+02 1.0e+02 1.0e+02 1.0e+02 1.0e+02</si:valueXMLList>
                        <si:unitXMLList>\metre\second\tothe{-2}</si:unitXMLList>
                      </si:realListXMLList>
                    </dcc:quantity>
                  </dcc:data>
                </dcc:metaData>
                <dcc:metaData refType="basic_tableRowComment">
                  <dcc:name>
                    <dcc:content lang="en">Comment resonances</dcc:content>
                    <dcc:content lang="de">Kommentar Gehäuseresonanzen</dcc:content>
                  </dcc:name>
                  <dcc:description>
                    <dcc:content lang="en">Between 7.5 kHz and 8.5 kHz, the transducer exhibited a pronounced housing transverse resonance, which led to a systematic deviation in the calibration results. Even averaging over several measurement positions could not completely suppress this influence.</dcc:content>
                    <dcc:content lang="de">Der Aufnehmer zeigte zwischen 7,5 kHz und 8,5 kHz eine ausgeprägte Gehäusequerresonanz, die zu einer systematischen Abweichung der Kalibrierergebnisse führte. Auch eine Mittelung über mehrere Messpositionen konnte diesen Einfluss nicht vollständig unterdrücken.</dcc:content>
                  </dcc:description>
                  <dcc:validXMLList>false false false false false false false false false false
                    false false false false false false false false false false false false false
                    false false false false false false true false</dcc:validXMLList>
                </dcc:metaData>
              </dcc:measurementMetaData>
            </dcc:list>
          </dcc:data>
        </dcc:result>
      </dcc:results>
    </dcc:measurementResult>
  </dcc:measurementResults>
  <dcc:comment xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
                xmlns:dcc="https://ptb.de/dcc">

  <xsl:stylesheet id="embeddedXSL" version="1.0"
      xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
      xmlns:exsl="http://exslt.org/common">

    <!-- Strip extra whitespace -->
    <xsl:strip-space elements="*"/>
    <xsl:output method="html" encoding="UTF-8" indent="yes"/>

    <xsl:template match="/">
      <html>
        <head>
          <meta charset="UTF-8"/>
          <title>DCC Viewer</title>
          <!-- Link to production CSS -->
          <link rel="stylesheet" type="text/css" href="https://cdn.jsdelivr.net/npm/dccviewer-js/dist/style.css"/>
        </head>
        <body><div>Der XSL Aufruf funktioniert auch so aus dcc:comment</div>
      <!--<xsl:copy-of select="dcc:digitalCalibrationCertificate"/>-->
      <div id="app"></div>
          <!-- Output the certificate XML into a hidden script block -->
          <script id="xmlContent" type="application/xml">
            <xsl:copy-of select="dcc:digitalCalibrationCertificate"/>
          </script>
          <script>
            window.process = { env: {} };
          </script>
          <!-- Load the production bundle and initialize the app -->
          <script type="module">
            <![CDATA[
              import { init } from 'https://cdn.jsdelivr.net/npm/dccviewer-js/dist/dccviewer-js.es.js';
              const xmlNode = document.getElementById('xmlContent').firstChild;
              const xmlStr = new XMLSerializer().serializeToString(xmlNode);
              console.log('Serialized XML:', xmlStr);
              init(xmlStr, { containerId: 'app', language: 'en' });
            ]]>
          </script>
        </body>
      </html>
    </xsl:template>

  </xsl:stylesheet>
  </dcc:comment>
</dcc:digitalCalibrationCertificate>