Vibration signal-based early fault prognosis: Status quo and applications. (April 2022)

• Record Type: Journal Article
• Authors: Lv, Yaqiong; Zhao, Wenqin; Zhao, Zhiyao; Li, Weidong; Ng, Kam K.H.
• Is Part Of: Advanced engineering informatics. Volume 52(2022)
• Publication Date: 2022-04
• Subjects: Early fault prognosis -- Signal processing -- Deep learning -- Vibration signal analysis; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2022.101609
• Languages: English
• ISSNs: 1474-0346

Abstract

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.