Fault Diagnosis of Variable Speed Bearing Based on EMDOS-DCCNN Model-Reference-Cited by-同舟云学术

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Fault Diagnosis of Variable Speed Bearing Based on EMDOS-DCCNN Model

Published:2023-07-22 Issue: Volume: Page:
ISSN:2523-3920
Container-title:Journal of Vibration Engineering & Technologies
language:en
Short-container-title:J. Vib. Eng. Technol.

Author:

Zheng Xiaohu^ORCID,Liu Xi,Zhu Chuangchuang,Wang Junliang,Zhang Jie

Funder

Project of the Ministry of Industry and Information Technology of the People's Republic of China

the Fundamental Research Funds for the Central Universities

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

Publisher

Springer Science and Business Media LLC

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Link

https://link.springer.com/content/pdf/10.1007/s42417-023-01085-2.pdf

Reference30 articles.

1. Li J, Chen W, Xue J, Han K, Wang Q (2019) Effect of multiple factors on identification and diagnosis of skidding damage in rolling bearings under time-varying slip conditions. Appl Sci 9(15):3033

2. Xu Q, Lu S, Jia W, Jiang C (2020) Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning. J Intell Manuf 31(6):1467–1481

3. Cui J, Xie P, Wang X, Wang J, He Q, Jiang G (2022) M2FN: an end-to-end multi-task and multi-sensor fusion network for intelligent fault diagnosis. Measurement 204:112085

4. Yan X, Sun Z, Zhao J, Shi Z, Zhang CA (2019) Fault diagnosis of rotating machinery equipped with multiple sensors using space-time fragments. J Sound Vib 456:49–64

5. Liu S, Chen J, He S, Shi Z, Zhou Z (2022) Subspace Network with shared representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples. ISA Trans 128:531–544

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing bearing fault diagnosis under variable working conditions: a CEEMDAN-SBS approach with vibro-electric signal integration;The International Journal of Advanced Manufacturing Technology;2024-04-03

2. Combined VMD-Morlet Wavelet Filter Based Signal De-noising Approach and Its Applications in Bearing Fault Diagnosis;Journal of Vibration Engineering & Technologies;2024-04-01

3. Advancing Bearing Fault Diagnosis under Variable Working Conditions: A CEEMDAN-SBS Approach with Vibro-Electric Signal Integration;2023-12-29

4. An ensemble deep learning approach for untrained compound fault diagnosis in bearings under unstable conditions;Measurement Science and Technology;2023-11-29

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