Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method
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DOI: 10.1016/j.ress.2023.109343
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- Guan, Yang & Meng, Zong & Sun, Dengyun & Liu, Jingbo & Fan, Fengjie, 2021. "2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
- Wang, Xu & Shen, Changqing & Xia, Min & Wang, Dong & Zhu, Jun & Zhu, Zhongkui, 2020. "Multi-scale deep intra-class transfer learning for bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
- Zuo, Lin & Xu, Fengjie & Zhang, Changhua & Xiahou, Tangfan & Liu, Yu, 2022. "A multi-layer spiking neural network-based approach to bearing fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
- Tang, Shengnan & Zhu, Yong & Yuan, Shouqi, 2022. "Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
- Xu, Yadong & Yan, Xiaoan & Feng, Ke & Sheng, Xin & Sun, Beibei & Liu, Zheng, 2022. "Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Xu, Yadong & Yan, Xiaoan & Feng, Ke & Zhang, Yongchao & Zhao, Xiaoli & Sun, Beibei & Liu, Zheng, 2023. "Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
- Quanbo Lu & Xinqi Shen & Xiujun Wang & Mei Li & Jia Li & Mengzhou Zhang, 2021. "Fault Diagnosis of Rolling Bearing Based on Improved VMD and KNN," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, October.
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- Zheng, Xiaorong & Nie, Jiahao & He, Zhiwei & Li, Ping & Dong, Zhekang & Gao, Mingyu, 2024. "A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
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Keywords
Deep feature enhancement; Low SNR; Signal and image fusion; Rotating machinery;All these keywords.
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