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Article: A2-LSTM for predictive maintenance of industrial equipment based on machine learning

TitleA2-LSTM for predictive maintenance of industrial equipment based on machine learning
Authors
Jiang, YCDai, PWFang, PCZhong, RRZhao, XLCao, XC
Issue Date2022
Citation
Computers & Industrial Engineering, 2022, p. 108560 How to Cite?
DOI: http://dx.doi.org/10.1016/j.cie.2022.108560
Persistent Identifierhttp://hdl.handle.net/10722/315777
ISI Accession Number ID
WOS:000864622600006

 

DC FieldValueLanguage
dc.contributor.authorJiang, YC-
dc.contributor.authorDai, PW-
dc.contributor.authorFang, PC-
dc.contributor.authorZhong, RR-
dc.contributor.authorZhao, XL-
dc.contributor.authorCao, XC-
dc.date.accessioned2022-08-19T09:04:14Z-
dc.date.available2022-08-19T09:04:14Z-
dc.date.issued2022-
dc.identifier.citationComputers & Industrial Engineering, 2022, p. 108560-
dc.identifier.urihttp://hdl.handle.net/10722/315777-
dc.languageeng-
dc.relation.ispartofComputers & Industrial Engineering-
dc.titleA2-LSTM for predictive maintenance of industrial equipment based on machine learning -
dc.typeArticle-
dc.identifier.emailZhong, RR: zhongzry@hku.hk-
dc.identifier.authorityZhong, RR=rp02116-
dc.identifier.doi10.1016/j.cie.2022.108560-
dc.identifier.hkuros335970-
dc.identifier.spage108560-
dc.identifier.epage108560-
dc.identifier.isiWOS:000864622600006-

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