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  <doc>
    <id>2989</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>23</pageFirst>
    <pageLast>24</pageLast>
    <pageNumber>2</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceproceedings</type>
    <publisherName>reposiTUm, TU Wien</publisherName>
    <publisherPlace>Wien</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation>TH Rosenheim; Physical Software Solutions GmbH; UniBw München</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-04-08</completedDate>
    <publishedDate>2025-04-28</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Failure Rates from Data of Field Returns</title>
    <abstract language="eng">To determine failure rates is a challenge, if there are only a few failures and typical failure rates are low. As an application example we are interested in failure rates of electrical automotive components for automated/autonomous driving. As method we focus here on the exploitation of field data. Our contribution classifies different approaches from statistics and shows how this can be applied to real-world production figures as available in industry.</abstract>
    <parentTitle language="eng">MATHMOD Short Contribution Volume 2025</parentTitle>
    <identifier type="doi">10.34726/9011</identifier>
    <enrichment key="PeerReviewed">Ja</enrichment>
    <enrichment key="OpusConferenceName">11th Vienna International Conference on Mathematical Modelling</enrichment>
    <enrichment key="conference_date">19.-21.02.2025</enrichment>
    <enrichment key="OpusConferencePlace">Wien</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="review.accepted_by">2</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Sven-Joachim Kimmerle</author>
    <author>Karl Dvorsky</author>
    <author>Hans-Dieter Liess</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Mathematische Modellierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Entscheidung bei Unsicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Bordnetz</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Reliabilität</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Konfidenzbereich</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>modelling uncertainties and stochastic systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automotive vehicle electrical systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>failure rates</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>autonomous driving</value>
    </subject>
    <collection role="ddc" number="51">Mathematik</collection>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Fakultät für Angewandte Natur- und Geisteswissenschaften</collection>
    <thesisPublisher>Technische Hochschule Rosenheim</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-rosenheim/files/2989/KimmerleDvorskyLiess_Mathmod25_2p_Upload2.pdf</file>
  </doc>
</export-example>
