An intelligent diagnostic system based on Petri nets
An intelligent event-oriented diagnosis methodology and diagnostic system architecture is proposed in this paper. The dynamic behaviour of the process system in different faulty modes is described by cause-consequence event sequences represented by coloured Petri nets (CPNs). The dynamic model of th...
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| Veröffentlicht in: | Computers & chemical engineering 1996, Vol.20, p.S635-S640 |
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| container_title | Computers & chemical engineering |
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| creator | Szücs, A. Gerzson, M. Hangos, K.M. |
| description | An intelligent event-oriented diagnosis methodology and diagnostic system architecture is proposed in this paper. The dynamic behaviour of the process system in different faulty modes is described by cause-consequence event sequences represented by coloured Petri nets (CPNs).
The dynamic model of the system is assumed to be partially unknown and it is refined using the observed event sequences by a learning method. The real-time diagnosis operates on the CPN model of the system and on the expected operating procedures comparing observed event sequences to the model-based prediction.
The diagnostic system architecture consists of an event archivator, a data structure generator, a real-time diagnostic monitor and a learning subsystem. |
| doi_str_mv | 10.1016/0098-1354(96)00115-9 |
| format | Article |
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The dynamic model of the system is assumed to be partially unknown and it is refined using the observed event sequences by a learning method. The real-time diagnosis operates on the CPN model of the system and on the expected operating procedures comparing observed event sequences to the model-based prediction.
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The dynamic model of the system is assumed to be partially unknown and it is refined using the observed event sequences by a learning method. The real-time diagnosis operates on the CPN model of the system and on the expected operating procedures comparing observed event sequences to the model-based prediction.
The diagnostic system architecture consists of an event archivator, a data structure generator, a real-time diagnostic monitor and a learning subsystem.</description><subject>Applied sciences</subject><subject>Chemical engineering</subject><subject>Exact sciences and technology</subject><subject>Safety</subject><issn>0098-1354</issn><issn>1873-4375</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNp9kM1LAzEQxYMoWKv_gYc9iOhhNdl8bS5CKX5BQQ96DtnsbIm02ZpJhf737lLp0dMw8Htv3htCLhm9Y5Spe0pNXTIuxY1Rt5QyJktzRCas1rwUXMtjMjkgp-QM8YtSWom6nhAxi0WIGVarsISYiza4ZewxB1_gDjOsi8YhtEUfi3fIKRQRMp6Tk86tEC7-5pR8Pj1-zF_Kxdvz63y2KD1XIpddBaYWdcO9l0ZxkFp41XaG1qZRlWpcw6nqfNXSIalogOpWSued08xDxxo-Jdd7303qv7eA2a4D-iGri9Bv0Vaq0kJqM4BiD_rUIybo7CaFtUs7y6gdX2TH_nbsb824DC-yo-zqz9-hd6suuegDHrScMSqEHrCHPQZD158AyaIPED20IYHPtu3D_3d-AS5EeYM</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Szücs, A.</creator><creator>Gerzson, M.</creator><creator>Hangos, K.M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1996</creationdate><title>An intelligent diagnostic system based on Petri nets</title><author>Szücs, A. ; Gerzson, M. ; Hangos, K.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-f2e9848b3cc5963e574c6df9089b626bab306fc2d01874be07d55acaa71cef1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Applied sciences</topic><topic>Chemical engineering</topic><topic>Exact sciences and technology</topic><topic>Safety</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Szücs, A.</creatorcontrib><creatorcontrib>Gerzson, M.</creatorcontrib><creatorcontrib>Hangos, K.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers & chemical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Szücs, A.</au><au>Gerzson, M.</au><au>Hangos, K.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An intelligent diagnostic system based on Petri nets</atitle><jtitle>Computers & chemical engineering</jtitle><date>1996</date><risdate>1996</risdate><volume>20</volume><spage>S635</spage><epage>S640</epage><pages>S635-S640</pages><issn>0098-1354</issn><eissn>1873-4375</eissn><coden>CCENDW</coden><abstract>An intelligent event-oriented diagnosis methodology and diagnostic system architecture is proposed in this paper. The dynamic behaviour of the process system in different faulty modes is described by cause-consequence event sequences represented by coloured Petri nets (CPNs).
The dynamic model of the system is assumed to be partially unknown and it is refined using the observed event sequences by a learning method. The real-time diagnosis operates on the CPN model of the system and on the expected operating procedures comparing observed event sequences to the model-based prediction.
The diagnostic system architecture consists of an event archivator, a data structure generator, a real-time diagnostic monitor and a learning subsystem.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/0098-1354(96)00115-9</doi></addata></record> |
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| ispartof | Computers & chemical engineering, 1996, Vol.20, p.S635-S640 |
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| language | eng |
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| subjects | Applied sciences Chemical engineering Exact sciences and technology Safety |
| title | An intelligent diagnostic system based on Petri nets |
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