A method for predicting the remaining useful life of rolling bearings under different working conditions based on multi-domain adversarial networks

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Biao Wang, Yaguo Lei, Naipeng Li et al. · IEEE Transactions on Reliability · 2018 · 1.8K citations

Engineering, Data Science, Machine Learning +16

A recurrent neural network based health indicator for remaining useful life prediction of bearings

Liang Guo, Naipeng Li, Feng Jia et al. · Neurocomputing · 2017 · 1.2K citations

Computing, Data Science, Machine Learning +14

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

Chuang Sun, Meng Ma, Zhibin Zhao et al. · IEEE Transactions on Industrial Informatics · 2018 · 523 citations

Engineering, Industrial Engineering, Manufacturing Engineering +17

Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

Meng Ma, Zhu Mao · IEEE Transactions on Industrial Informatics · 2020 · 492 citations

Computing, Computer Science, Machine Learning +16

Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

Dawn An, Nam Ho Kim, Joo-Ho Choi · Reliability Engineering & System Safety · 2014 · 439 citations

Computing, Data Science, Predictive Analytics +12