The following publications are possibly variants of this publication:
- Remaining Useful Life Prediction for Rolling Bearings Using EMD-RISI-LSTMRunxia Guo, Yu Wang, Haochi Zhang, Guoliang Zhang. tim, 70:1-12, 2021. [doi]
- A Feature Fusion-Based Method for Remaining Useful Life Prediction of Rolling BearingsJie Liu 0031, Zian Yang, Jingsong Xie, Ruijie Wang, Shanhui Liu, Darun Xi. tim, 72:1-12, 2023. [doi]
- A Synthetic Feature Processing Method for Remaining Useful Life Prediction of Rolling BearingsJinhua Mi, Lulu Liu, Yonghao Zhuang, Libing Bai, Yan Feng Li. tr, 72(1):125-136, March 2023. [doi]
- Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE-MACNNYaping Wang, Jinbao Wang, Sheng Zhang, Di Xu, Jianghua Ge. entropy, 24(7):905, 2022. [doi]
- Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element BearingsBin Zhang, Lijun Zhang, Jinwu Xu. qre, 32(2):547-554, 2016. [doi]
- Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure ThresholdJiahui Li, Zhihai Wang, Xiaoqin Liu, Zhengjiang Feng. sensors, 23(3):1144, February 2023. [doi]
- Research on Remaining Useful Life Prediction Method of Rolling Bearing Based on Digital TwinRui Zhang, Zhiqiang Zeng, Yanfeng Li, Jiahao Liu, Zhijian Wang. entropy, 24(11):1578, 2022. [doi]