Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis
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DOI: 10.1016/j.ress.2024.110433
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- Cai, Xiao & Li, Naipeng & Xie, Min, 2024. "RUL prediction for two-phase degrading systems considering physical damage observations," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Miao, Mengqi & Yu, Jianbo, 2024. "Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
- Li, Sai & Peng, Yanfeng & Shen, Yiping & Zhao, Sibo & Shao, Haidong & Bin, Guangfu & Guo, Yong & Yang, Xingkai & Fan, Chao, 2024. "Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Shi, Peiming & Wu, Shuping & Xu, Xuefang & Zhang, Bofei & Liang, Pengfei & Qiao, Zijian, 2023. "TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions," Reliability Engineering and System Safety, Elsevier, vol. 240(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).
- Yu, Aobo & Cai, Bolin & Wu, Qiujie & GarcÃa, Miguel MartÃnez & Li, Jing & Chen, Xiangcheng, 2024. "Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
- Wu, Zhangjun & Xu, Renli & Luo, Yuansheng & Shao, Haidong, 2024. "A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
- Chen, Pengfei & Zhao, Rongzhen & He, Tianjing & Wei, Kongyuan & Yuan, Jianhui, 2023. "A novel bearing fault diagnosis method based joint attention adversarial domain adaptation," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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Keywords
Bearing; Fault diagnosis; Catastrophic forgetting; Continual learning; Prototypical networks; Few-shot learning;All these keywords.
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