Fuel cell system improvement for model-based diagnosis analysis
This paper is concerned with the improvement of a model of a fuel cell system, in order to make it usable for model-based diagnosis methods. A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the sys...
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creator | Batteux, M Fiani, P Rapin, N Dague, P |
description | This paper is concerned with the improvement of a model of a fuel cell system, in order to make it usable for model-based diagnosis methods. A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the system environment. In this paper, we present an adapted library, which integrates, directly in the fuel cell system model, all the important faults identified and classified. This provides all models with faults required for model-based diagnosis methods. |
doi_str_mv | 10.1109/VPPC.2010.5729142 |
format | Conference Proceeding |
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A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the system environment. In this paper, we present an adapted library, which integrates, directly in the fuel cell system model, all the important faults identified and classified. 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A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the system environment. In this paper, we present an adapted library, which integrates, directly in the fuel cell system model, all the important faults identified and classified. This provides all models with faults required for model-based diagnosis methods.</description><subject>Adaptation model</subject><subject>Atmospheric modeling</subject><subject>faults modeling</subject><subject>fuel cell modeling</subject><subject>Fuel cells</subject><subject>Libraries</subject><subject>model-based diagnosability</subject><subject>model-based diagnosis</subject><subject>Pressure measurement</subject><subject>Sensors</subject><subject>Valves</subject><issn>1938-8756</issn><isbn>9781424482207</isbn><isbn>1424482208</isbn><isbn>9781424482191</isbn><isbn>1424482186</isbn><isbn>9781424482184</isbn><isbn>1424482194</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNkMFKxDAYhCMquOz2AcRLXqBr8idpkpNIcVVYcA-u1yVN_0okbZdmFfr2BtyDc5mZy_AxhNxytuac2fuP3a5eA8tVabBcwgUprDY5SGmAW375vwPTV2TBrTCl0aq6IUVKXyxLgVZQLcjD5hsj9RgjTXM6YU9Df5zGH-xxONFunGg_thjLxiVsaRvc5zCmkKgbXJxzWJHrzsWExdmXZL95eq9fyu3b82v9uC0DFwLKzmcUA9ZK4VqXORvDhYbOcMWZQ0DboNVV2wjfWKW89ODAmE6yjOmFFEty97cbEPFwnELvpvlwvkD8AjwnTBI</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Batteux, M</creator><creator>Fiani, P</creator><creator>Rapin, N</creator><creator>Dague, P</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Fuel cell system improvement for model-based diagnosis analysis</title><author>Batteux, M ; Fiani, P ; Rapin, N ; Dague, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1332-fc220829943ada821b81372f81510ae2e9be976db3cb955c4c2a288f40752c343</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptation model</topic><topic>Atmospheric modeling</topic><topic>faults modeling</topic><topic>fuel cell modeling</topic><topic>Fuel cells</topic><topic>Libraries</topic><topic>model-based diagnosability</topic><topic>model-based diagnosis</topic><topic>Pressure measurement</topic><topic>Sensors</topic><topic>Valves</topic><toplevel>online_resources</toplevel><creatorcontrib>Batteux, M</creatorcontrib><creatorcontrib>Fiani, P</creatorcontrib><creatorcontrib>Rapin, N</creatorcontrib><creatorcontrib>Dague, P</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Batteux, M</au><au>Fiani, P</au><au>Rapin, N</au><au>Dague, P</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuel cell system improvement for model-based diagnosis analysis</atitle><btitle>2010 IEEE Vehicle Power and Propulsion Conference</btitle><stitle>VPPC</stitle><date>2010-09</date><risdate>2010</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1938-8756</issn><isbn>9781424482207</isbn><isbn>1424482208</isbn><eisbn>9781424482191</eisbn><eisbn>1424482186</eisbn><eisbn>9781424482184</eisbn><eisbn>1424482194</eisbn><abstract>This paper is concerned with the improvement of a model of a fuel cell system, in order to make it usable for model-based diagnosis methods. A fuel cell system is a complex system with many components where faults can occur and cause hard damages not only for the fuel cell stack but also for the system environment. In this paper, we present an adapted library, which integrates, directly in the fuel cell system model, all the important faults identified and classified. This provides all models with faults required for model-based diagnosis methods.</abstract><pub>IEEE</pub><doi>10.1109/VPPC.2010.5729142</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation model Atmospheric modeling faults modeling fuel cell modeling Fuel cells Libraries model-based diagnosability model-based diagnosis Pressure measurement Sensors Valves |
title | Fuel cell system improvement for model-based diagnosis analysis |
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