Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94104
Title: Vibration signal-based early fault prognosis : status quo and applications
Authors: Lv, Y
Zhao, W
Zhao, Z
Li, W
Ng, KKH 
Issue Date: Apr-2022
Source: Advanced engineering informatics, Apr. 2022, v. 52, 101609
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.
Keywords: Deep learning
Early fault prognosis
Signal processing
Vibration signal analysis
Publisher: Elsevier
Journal: Advanced engineering informatics 
EISSN: 1474-0346
DOI: 10.1016/j.aei.2022.101609
Appears in Collections:Journal/Magazine Article

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