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Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm
Joint Authors
Sun, Jie
Liu, Zhenpeng
Shi, Huaitao
Guo, Jin
Yuan, Zhe
Hou, Maxiao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-27
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Due to the relatively weak early fault characteristics of rolling bearings, the difficulty of early fault detection increases.
For unsolving this problem, an incipient fault detection method based on deep empirical mode decomposition and principal component analysis (Deep EMD-PCA) is proposed.
In this method, multiple data processing layers are created to extract weak incipient fault features, and EMD is used to decompose the vibration signal.
This method establishes an accurate data mode, which can improve the incipient fault detection capability.
It overcomes the difficulties of incipient fault detection, in which weak fault features can be extracted from the background of strong noise.
From a theoretical point of view, this paper proves that the Deep EMD-PCA method can retain more variance information and has a good early fault detection ability.
The experiment results indicate that the detection rate of Deep EMD-PCA is about 85%, and the failure detection delay time is almost zero.
The incipient faults of rolling element bearings can be detected accurately and timely by Deep EMD-PCA.
The method effectively improves the accuracy and timeliness of fault detection under actual working conditions and has good practical application value.
American Psychological Association (APA)
Shi, Huaitao& Guo, Jin& Yuan, Zhe& Liu, Zhenpeng& Hou, Maxiao& Sun, Jie. 2020. Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm. Shock and Vibration،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1213097
Modern Language Association (MLA)
Shi, Huaitao…[et al.]. Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm. Shock and Vibration No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1213097
American Medical Association (AMA)
Shi, Huaitao& Guo, Jin& Yuan, Zhe& Liu, Zhenpeng& Hou, Maxiao& Sun, Jie. Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1213097
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213097