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Article: Fuzzy artmap neural network and its application to fault diagnosis of navigation systems

TitleFuzzy artmap neural network and its application to fault diagnosis of navigation systems
Authors
Zhang, HYChan, CWCheung, KCYe, YJ
KeywordsFault diagnosis
Fuzzy neural networks
Hypotheses test
Navigation systems
Pattern identification
Issue Date2001
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/automatica
Citation
Automatica, 2001, v. 37 n. 7, p. 1065-1070 How to Cite?
DOI: http://dx.doi.org/10.1016/S0005-1098(01)00058-9
AbstractIn this paper, a new approach that combines Chi-Square Test and Fuzzy ARTMAP (FAM) neural network mapping is proposed to Fault Diagnosis of Integrated Navigation Systems. State Chi-Square Test on whole state vector and individual state is performed to detect faults. Then, the pattern of State Chi-Square Test result is used to isolate and identify faults by using two separated FAM networks respectively. The fault magnitude and fault occurring time can be identified by the second FAM. © 2001 Elsevier Science Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/156599
ISSN
0005-1098
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 3.502
ISI Accession Number ID
WOS:000169252300010
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, HYen_HK
dc.contributor.authorChan, CWen_HK
dc.contributor.authorCheung, KCen_HK
dc.contributor.authorYe, YJen_HK
dc.date.accessioned2012-08-08T08:43:08Z-
dc.date.available2012-08-08T08:43:08Z-
dc.date.issued2001en_HK
dc.identifier.citationAutomatica, 2001, v. 37 n. 7, p. 1065-1070en_HK
dc.identifier.issn0005-1098en_HK
dc.identifier.urihttp://hdl.handle.net/10722/156599-
dc.description.abstractIn this paper, a new approach that combines Chi-Square Test and Fuzzy ARTMAP (FAM) neural network mapping is proposed to Fault Diagnosis of Integrated Navigation Systems. State Chi-Square Test on whole state vector and individual state is performed to detect faults. Then, the pattern of State Chi-Square Test result is used to isolate and identify faults by using two separated FAM networks respectively. The fault magnitude and fault occurring time can be identified by the second FAM. © 2001 Elsevier Science Ltd.en_HK
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/automaticaen_HK
dc.relation.ispartofAutomaticaen_HK
dc.subjectFault diagnosisen_HK
dc.subjectFuzzy neural networksen_HK
dc.subjectHypotheses testen_HK
dc.subjectNavigation systemsen_HK
dc.subjectPattern identificationen_HK
dc.titleFuzzy artmap neural network and its application to fault diagnosis of navigation systemsen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, CW: mechan@hkucc.hku.hken_HK
dc.identifier.emailCheung, KC: kccheung@hkucc.hku.hken_HK
dc.identifier.authorityChan, CW=rp00088en_HK
dc.identifier.authorityCheung, KC=rp01322en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0005-1098(01)00058-9en_HK
dc.identifier.scopuseid_2-s2.0-0035400433en_HK
dc.identifier.hkuros68086-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035400433&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume37en_HK
dc.identifier.issue7en_HK
dc.identifier.spage1065en_HK
dc.identifier.epage1070en_HK
dc.identifier.isiWOS:000169252300010-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridZhang, HY=7409196387en_HK
dc.identifier.scopusauthoridChan, CW=7404814060en_HK
dc.identifier.scopusauthoridCheung, KC=7402406698en_HK
dc.identifier.scopusauthoridYe, YJ=15744850100en_HK
dc.identifier.issnl0005-1098-

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