An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosis
Autor(en): |
Junchao Guo
(State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China)
Qingbo He (State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China) Dong Zhen (School of Mechanical Engineering, Hebei University of Technology, Tianjin, China) Fengshou Gu (Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK) Andrew D. Ball (Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, November 2019, n. 1, v. 22 |
Seite(n): | 147592172210863 |
DOI: | 10.1177/14759217221086314 |
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10665316 - Veröffentlicht am:
09.05.2022 - Geändert am:
20.02.2023