A Novel Method Based on Stepwise Variational Modal Decomposition and Gramian Angular Difference Field for Bearing Health Monitoring-Reference-Cited by-同舟云学术

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A Novel Method Based on Stepwise Variational Modal Decomposition and Gramian Angular Difference Field for Bearing Health Monitoring

Published:2024-08-05 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Li Yong,Zhang Hongyao,Ma Sencai,Cheng Gang,Yao Qiangling,Zuo Chuanwei

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13369-024-09320-y.pdf

Reference30 articles.

1. Nandi, S.; Toliyat, H.; Li, X.: Condition monitoring and fault diagnosis of electrical motors-a review. IEEE Trans. Ener. Con. 20(4), 719–729 (2020)

2. Mehdi, T.; Mohammad, M.; Mansour, O.: Motor current signature analysis for detecting local defects on rolling-element bearings of induction motors. Arab. J. Sci. Eng. 48, 14811–14822 (2023)

3. Billel, B.; Abdelhafid, T.; Samir, C., et al.: Design and hardware implementation of an intelligent industrial IoT edge device for bearing monitoring and fault diagnosis. Arab. J. Sci. Eng. (2023). https://doi.org/10.1007/s13369-023-08268-9

4. Li, X.; Shao, H.; Lu, S., et al.: Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images. IEEE Trans. Syst. Man. Cyb. Syst. 52(12), 7328–7340 (2022)

5. Taibi, A.; Ikhlef, N.; Touati, S.: A novel intelligent approach based on WOAGWO-VMD and MPA-LSSVM for diagnosis of bearing faults. Int. J. Adv. Manuf. Technol. 120(5–6), 3859–3883 (2022)

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