Defect length estimation of rolling element bearings via adaptive separation of dual-impulse-Reference-Cited by-同舟云学术

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Defect length estimation of rolling element bearings via adaptive separation of dual-impulse

Published:2024-06-20 Issue:8 Volume:46 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Meng Jiadong^ORCID,Huo Xiao,Yan Changfeng,Wen Tao,Chen Guangyi,Zhao Zhigang

Funder

Open project of state key laboratory of rail transit vehicle system, Southwest Jiaotong University

Key Research and Development Project of Lanzhou Jiaotong University

Special Funds for Guiding Local Scientific and Technological Development

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40430-024-05039-x.pdf

Reference41 articles.

1. Lei Y, Han T, Wang B et al (2019) XJTU-SY rolling element bearing accelerated life test datasets. Tutor J Mech Eng 55(16):1–6

2. Ding XX, He Q, Luo N (2015) A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification. J Sound Vib 335(20):367–383

3. Lu S, He Q, Wang J (2019) A review of stochastic resonance in rotating machine fault detection. Mech Syst Signal Process 116:230–260

4. Li S, Xin Y, and Li X, et al. (2019) A review on the signal processing methods of rotating machinery fault diagnosis. In: 2019 IEEE 8th joint international information technology and artificial intelligence conference (ITAIC), Chongqing, China, pp. 1559–1565

5. Rai A, Upadhyay SH (2016) A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribol Int 96:289–306

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