<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>64061</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>169</pageFirst>
    <pageLast>170</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>AMA Verband für Sensorik und Messtechnik e.V.</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Analysis of Methods for Predicting H2 Sensor Responses</title>
    <abstract language="eng">Hydrogen (H2) is crucial for replacing fossil fuels and achieving net-zero emissions, but its flammability and explosiveness pose safety challenges. Rapid H2 leak detection is essential for triggering emergency accidents. However, H2 sensor response is constrained by material properties and gas flow dynamics, causing response and detection delays. Our current study explores various available algorithms for H2 sensor response prediction from early responses with a small time window, accelerating leakage detection. Our findings identify the most efficient algorithms for real-time implementation, enhancing H2 safety systems.</abstract>
    <parentTitle language="eng">SMSI 2025</parentTitle>
    <identifier type="isbn">978-3-910600-06-5</identifier>
    <identifier type="doi">10.5162/SMSI2025/C6.3</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-640617</identifier>
    <enrichment key="eventName">SMSI 2025 2025-05-06 - 2025-05-08 Nürnberg</enrichment>
    <enrichment key="eventPlace">Nuremberg, Germany</enrichment>
    <enrichment key="eventStart">06.05.2025</enrichment>
    <enrichment key="eventEnd">08.05.2025</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Allgemeines Deutsches Urheberrecht</licence>
    <author>Raduan Sarif</author>
    <author>Carlo Tiebe</author>
    <author>Christian Herglotz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>H2 safety</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Early H2 leakage detection</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Prediction algorithms</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Stable H2 value prediction</value>
    </subject>
    <collection role="ddc" number="660">Chemische Verfahrenstechnik</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Anlagensicherheit und Prozesssimulation</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/64061/Analysis of Methods for Predicting H2 Sensor Responses.pdf</file>
  </doc>
  <doc>
    <id>64194</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Analysis of Methods for Predicting H2 Sensor Responses</title>
    <abstract language="eng">Hydrogen (H2) is crucial for replacing fossil fuels and achieving net-zero emissions, but its flammability and explosiveness pose safety challenges. Rapid H2 leak detection is essential for triggering emergency accidents. However, H2 sensor response is constrained by material properties and gas flow dynamics, causing response and detection delays. Our current study explores various available algorithms for H2 sensor response prediction from early responses with a small time window, accelerating leakage detection. Our findings identify the most efficient algorithms for real-time implementation, enhancing H2 safety systems.</abstract>
    <enrichment key="eventName">SMSI 2025 Conference – Sensor and Measurement Science International</enrichment>
    <enrichment key="eventPlace">Nuremberg, Germany</enrichment>
    <enrichment key="eventStart">06.05.2025</enrichment>
    <enrichment key="eventEnd">08.05.2025</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Raduan Sarif</author>
    <author>Carlo Tiebe</author>
    <author>Christian Herglotz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>H2 safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Early H2 leakage detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Prediction algorithms</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stable H2 value prediction</value>
    </subject>
    <collection role="ddc" number="660">Chemische Verfahrenstechnik</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="institutes" number="">8.1 Sensorik, mess- und prüftechnische Verfahren</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
    <collection role="themenfelder" number="">Anlagensicherheit und Prozesssimulation</collection>
  </doc>
</export-example>
