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Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold
Joint Authors
Lin, Jianhui
Zhuang, Zhe
Ding, Jianming
Tan, Andy C.
Shi, Ying
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-03
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A novel fault detection method employing the impulse-envelope manifold is proposed in this paper which is based on the combination of convolution sparse representation (CSR) and Hilbert transform manifold learning.
The impulses with different sparse characteristics are extracted by the CSR with different penalty parameters.
The impulse-envelope space is constructed through Hilbert transform on the extracted impulses.
The manifold based on impulse-envelope space (impulse-envelope manifold) is executed to learn the low-dimensionality intrinsic envelope of vibration signals for fault detection.
The analyzed results based on simulations, experimental tests, and practical applications show that (1) the impulse-envelope manifold with both isometric mapping (Isomap) and locally linear coordination (LLC) can be successfully used to extract the intrinsic envelope of the impulses where local tangent space analysis (LTSA) fails to perform and (2) the impulse-envelope manifold with Isomap outperforms those with LLC in terms of strengthening envelopes and the number of extracted harmonics.
The proposed impulse-envelope manifold with Isomap is superior in extracting the intrinsic envelope, strengthening the amplitude of intrinsic envelope spectra, and enlarging the harmonic number of fault-characteristic frequency.
The proposed technique is highly suitable for extracting intrinsic envelopes for bearing fault detection.
American Psychological Association (APA)
Zhuang, Zhe& Ding, Jianming& Tan, Andy C.& Shi, Ying& Lin, Jianhui. 2017. Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold. Shock and Vibration،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204080
Modern Language Association (MLA)
Zhuang, Zhe…[et al.]. Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold. Shock and Vibration No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1204080
American Medical Association (AMA)
Zhuang, Zhe& Ding, Jianming& Tan, Andy C.& Shi, Ying& Lin, Jianhui. Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204080