GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation

Digital twin-driven intelligent assessment of gear surface degradation

Ke Feng, Jinchen Ji, Yongchao Zhang et al. · Mechanical Systems and Signal Processing · 2022 · 519 citations

Engineering, Computer Engineering, Mechanical Engineering +14

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

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

Wennian Yu, Il Yong Kim, Chris K. Mechefske · Mechanical Systems and Signal Processing · 2019 · 397 citations

Computing, Computer Science, Machine Learning +8

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

Yuanhang Chen, Gaoliang Peng, Zhiyu Zhu et al. · Applied Soft Computing · 2019 · 375 citations

Computing, Computer Science, Artificial Intelligence +12

A physics-informed deep learning approach for bearing fault detection

Sheng Shen, Hao Lü, Mohammadkazem Sadoughi et al. · Engineering Applications of Artificial Intelligence · 2021 · 259 citations

Computing, Computer Science, Physics +14