Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/94104
DC Field | Value | Language |
---|---|---|
dc.contributor | Interdisciplinary Division of Aeronautical and Aviation Engineering | en_US |
dc.creator | Lv, Y | en_US |
dc.creator | Zhao, W | en_US |
dc.creator | Zhao, Z | en_US |
dc.creator | Li, W | en_US |
dc.creator | Ng, KKH | en_US |
dc.date.accessioned | 2022-08-11T01:07:07Z | - |
dc.date.available | 2022-08-11T01:07:07Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/94104 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_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.rights | The 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.subject | Deep learning | en_US |
dc.subject | Early fault prognosis | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Vibration signal analysis | en_US |
dc.title | Vibration signal-based early fault prognosis : status quo and applications | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 52 | en_US |
dc.identifier.doi | 10.1016/j.aei.2022.101609 | en_US |
dcterms.abstract | To 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | Advanced engineering informatics, Apr. 2022, v. 52, 101609 | en_US |
dcterms.isPartOf | Advanced engineering informatics | en_US |
dcterms.issued | 2022-04 | - |
dc.identifier.scopus | 2-s2.0-85127771519 | - |
dc.identifier.eissn | 1474-0346 | en_US |
dc.identifier.artn | 101609 | en_US |
dc.description.validate | 202208 bcch | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1583 | - |
dc.identifier.SubFormID | 45524 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lv_Vibration_Signal-based_Prognosis.pdf | Pre-Published version | 1.23 MB | Adobe PDF | View/Open |
Page views
47
Last Week
0
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.