Investigation on Rolling Bearing Remaining Useful Life Prediction: A Review
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8603127/8603308/08603483.pdf?arnumber=8603483
Cited by 18 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. Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings;Reliability Engineering & System Safety;2024-11
2. Soft Shared Multi-Task Convolutional Network Based on the Attention Mechanism;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10
3. Adaptive range selection for parameter optimization of VMD algorithm in rolling bearing fault diagnosis under strong background noise;Journal of Mechanical Science and Technology;2023-11
4. A Parallel Feature Fusion Network for Simultaneous Bearing Fault Detection and Remaining Useful Life Prediction;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06
5. A similarity-based remaining useful life prediction method using multimodal degradation features and adjusted cosine similarity;Measurement Science and Technology;2023-07-06
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