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Article: A new BRTCN model for predicting discharge status of WEDM based on acoustic emission

TitleA new BRTCN model for predicting discharge status of WEDM based on acoustic emission
Authors
YANG, XXLIU, CHPENG, LGPENG, SHZHANG, YJXIE, NZhong, RR
Issue Date2022
Citation
Journal of Manufacturing Systems, 2022, v. 64, p. 409-423 How to Cite?
DOI: http://dx.doi.org/10.1016/j.jmsy.2022.07.003
Persistent Identifierhttp://hdl.handle.net/10722/314572
ISI Accession Number ID
WOS:000834112300001

 

DC FieldValueLanguage
dc.contributor.authorYANG, XX-
dc.contributor.authorLIU, CH-
dc.contributor.authorPENG, LG-
dc.contributor.authorPENG, SH-
dc.contributor.authorZHANG, YJ-
dc.contributor.authorXIE, N-
dc.contributor.authorZhong, RR-
dc.date.accessioned2022-07-22T05:27:11Z-
dc.date.available2022-07-22T05:27:11Z-
dc.date.issued2022-
dc.identifier.citationJournal of Manufacturing Systems, 2022, v. 64, p. 409-423-
dc.identifier.urihttp://hdl.handle.net/10722/314572-
dc.languageeng-
dc.relation.ispartofJournal of Manufacturing Systems-
dc.titleA new BRTCN model for predicting discharge status of WEDM based on acoustic emission-
dc.typeArticle-
dc.identifier.emailZhong, RR: zhongzry@hku.hk-
dc.identifier.authorityZhong, RR=rp02116-
dc.identifier.doi10.1016/j.jmsy.2022.07.003-
dc.identifier.hkuros334572-
dc.identifier.volume64-
dc.identifier.spage409-
dc.identifier.epage423-
dc.identifier.isiWOS:000834112300001-

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