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Please use this identifier to cite or link to this item: https://doi.org/10.1007/11760191_54
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dc.titleFault detection and diagnosis using neural network design
dc.contributor.authorTan, K.K.
dc.contributor.authorHuang, S.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-06-19T03:10:41Z
dc.date.available2014-06-19T03:10:41Z
dc.date.issued2006
dc.identifier.citationTan, K.K.,Huang, S.,Lee, T.H. (2006). Fault detection and diagnosis using neural network design. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3973 LNCS : 364-369. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/11760191_54" target="_blank">https://doi.org/10.1007/11760191_54</a>
dc.identifier.isbn3540344829
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70313
dc.description.abstractIn this work, a fault detection method is designed baaed on neural networks. The proposed method is that a neural network is built on-line for the normal mode, while other one is used to diagnose the faults. The simulation shows the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2006.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/11760191_54
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/11760191_54
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3973 LNCS
dc.description.page364-369
dc.identifier.isiutNOT_IN_WOS
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