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    <title language="eng">Failure Rates from Data of Field Returns - How to Prove High Reliability for Electric Components?</title>
    <abstract language="eng">To determine failure rates is a challenge, if there are only a few failures and a low failure rate should be checked. As an application example, we are interested in failure rates of electrical automotive components for automated/autonomous driving. Basically, three methods are common: (i) exploitation of field data, (ii) standardized handbooks with failure rates, e.g. the FIDES guide, and (iii) laboratory long term exposure tests. We discuss shortly the (dis)advantages of each method and focus on the statistics behind method (i). Moreover, our poster sketches how this can be applied to data as available in industry.</abstract>
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    <author>Sven-Joachim Kimmerle</author>
    <author>Karl Dvorsky</author>
    <author>Hans-Dieter Liess</author>
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      <language>deu</language>
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      <value>Reliabilität</value>
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      <value>automotive vehicle electrical systems</value>
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      <value>reliability</value>
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      <value>autonomous driving/intelligent autonomous vehicles</value>
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      <value>field data</value>
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    <id>2989</id>
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    <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>
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    <identifier type="doi">10.34726/9011</identifier>
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    <enrichment key="conference_date">19.-21.02.2025</enrichment>
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    <author>Sven-Joachim Kimmerle</author>
    <author>Karl Dvorsky</author>
    <author>Hans-Dieter Liess</author>
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      <value>Mathematische Modellierung</value>
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      <value>Konfidenzbereich</value>
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    <thesisPublisher>Technische Hochschule Rosenheim</thesisPublisher>
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