Hidden features extraction and amplification based on eigenvalue imaging and gray-level grouping for bearing fault diagnosis-Reference-Cited by-同舟云学术

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Hidden features extraction and amplification based on eigenvalue imaging and gray-level grouping for bearing fault diagnosis

Published:2022-07-31 Issue:11 Volume:13 Page:3555-3568
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Han Huanying,Yang Dongsheng^ORCID,Qin Jia

Funder

national natural science foundation of china

program for liaoning innovative talents in university

fundamental research funds for the central universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-022-01612-9.pdf

Reference29 articles.

1. Amar M, Gondal I, Wilson C (2015) Vibration spectrum imaging: a novel bearing fault classification approach. IEEE Trans Ind Electron 62(1):494–502

2. Benali J, Sayadi ,Fnaiech F, Morello B, Zerhouni N (2013) Importance of the fourth and fifth intrinsic mode functions for bearing fault diagnosis. In: Proceedings of 14th International Conferences Science Technology Automation Control Computing Engineering STA, pp 259–264

3. Zhu X, Xiong J, Liang Q (2018) Fault diagnosis of rotation machinery based on support vector machine optimized by quantum genetic algorithm. IEEE Access 6:33583–33588

4. Kong Y, Wang T, Chu F, Feng Z, Selesnick I (2021) Discriminative dictionary learning-based sparse classification framework for data-driven machinery fault diagnosis. IEEE Sens J 21(6):8117–8129

5. Yang D, Pang Y, Zhou Z, Li K (2019) Fault diagnosis for energy internet using correlation processing-based convolutional neural networks. IEEE Trans Syst Man Cybern Syst 49(8):1739–1748

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1. Proportional periodic sampling for cross-load bearing fault diagnosis;International Journal of Machine Learning and Cybernetics;2024-06-18

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