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Article: An improved incremental learning approach for KPI prognosis of dynamic fuel cell system

TitleAn improved incremental learning approach for KPI prognosis of dynamic fuel cell system
Authors
Yin, SXIE, XLam, JCheung, KCGao, H
KeywordsFault detection
Fuel cell system
Key performance indicator (KPI)
Machine learning
Prognosis
Issue Date2016
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221036
Citation
IEEE Transactions on Cybernetics, 2016, v. 46 n. 12, p. 3135-3144 How to Cite?
DOI: http://dx.doi.org/10.1109/TCYB.2015.2498194
Persistent Identifierhttp://hdl.handle.net/10722/245077
ISSN
2168-2267
2021 Impact Factor: 19.118
2020 SCImago Journal Rankings: 3.109
ISI Accession Number ID
WOS:000388923100036

 

DC FieldValueLanguage
dc.contributor.authorYin, S-
dc.contributor.authorXIE, X-
dc.contributor.authorLam, J-
dc.contributor.authorCheung, KC-
dc.contributor.authorGao, H-
dc.date.accessioned2017-09-18T02:04:12Z-
dc.date.available2017-09-18T02:04:12Z-
dc.date.issued2016-
dc.identifier.citationIEEE Transactions on Cybernetics, 2016, v. 46 n. 12, p. 3135-3144-
dc.identifier.issn2168-2267-
dc.identifier.urihttp://hdl.handle.net/10722/245077-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221036-
dc.relation.ispartofIEEE Transactions on Cybernetics-
dc.rightsIEEE Transactions on Cybernetics. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. -
dc.subjectFault detection-
dc.subjectFuel cell system-
dc.subjectKey performance indicator (KPI)-
dc.subjectMachine learning-
dc.subjectPrognosis-
dc.titleAn improved incremental learning approach for KPI prognosis of dynamic fuel cell system-
dc.typeArticle-
dc.identifier.emailLam, J: jlam@hku.hk-
dc.identifier.emailCheung, KC: kccheung@hku.hk-
dc.identifier.authorityLam, J=rp00133-
dc.identifier.authorityCheung, KC=rp01322-
dc.identifier.doi10.1109/TCYB.2015.2498194-
dc.identifier.scopuseid_2-s2.0-84947975924-
dc.identifier.hkuros277704-
dc.identifier.volume46-
dc.identifier.issue12-
dc.identifier.spage3135-
dc.identifier.epage3144-
dc.identifier.isiWOS:000388923100036-
dc.publisher.placeUnited States-
dc.identifier.issnl2168-2267-

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