Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94104
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorInterdisciplinary Division of Aeronautical and Aviation Engineeringen_US
dc.creatorLv, Yen_US
dc.creatorZhao, Wen_US
dc.creatorZhao, Zen_US
dc.creatorLi, Wen_US
dc.creatorNg, KKHen_US
dc.date.accessioned2022-08-11T01:07:07Z-
dc.date.available2022-08-11T01:07:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/94104-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Lv, Y., Zhao, W., Zhao, Z., Li, W., & Ng, K. K. H. (2022). Vibration signal-based early fault prognosis: Status quo and applications. Advanced Engineering Informatics, 52, 101609 is available at https://dx.doi.org/10.1016/j.aei.2022.101609.en_US
dc.subjectDeep learningen_US
dc.subjectEarly fault prognosisen_US
dc.subjectSignal processingen_US
dc.subjectVibration signal analysisen_US
dc.titleVibration signal-based early fault prognosis : status quo and applicationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume52en_US
dc.identifier.doi10.1016/j.aei.2022.101609en_US
dcterms.abstractTo implement Prognostics and Health Management (PHM) for industrial systems, it is paramount to conduct early fault prognosis on the systems to ensure the stability and reliability during their entire lifecycles. Investigations on early fault prognosis have been actively carried out, but there is a lack of systematic analysis and summary of the developed methods. To bridge the gap, in this paper, the relevant methods are comprehensively reviewed from the aspects of signal processing and fault identification. Furthermore, the applications of the methods are systematically described. In the end, to further facilitate researchers and practitioners, statistical and comparative analysis of the reviewed methods are given, and future development directions are outlined.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvanced engineering informatics, Apr. 2022, v. 52, 101609en_US
dcterms.isPartOfAdvanced engineering informaticsen_US
dcterms.issued2022-04-
dc.identifier.scopus2-s2.0-85127771519-
dc.identifier.eissn1474-0346en_US
dc.identifier.artn101609en_US
dc.description.validate202208 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1583-
dc.identifier.SubFormID45524-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Lv_Vibration_Signal-based_Prognosis.pdfPre-Published version1.23 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

47
Last Week
0
Last month
Citations as of May 12, 2024

SCOPUSTM   
Citations

48
Citations as of May 17, 2024

WEB OF SCIENCETM
Citations

41
Citations as of May 16, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.