Bearing life prediction method based on the improved FIDES reliability model

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

Jaouher Ben Ali, Brigitte Chebel‐Morello, Lotfi Saïdi et al. · Mechanical Systems and Signal Processing · 2014 · 493 citations

Engineering, Service Life Prediction, Data Science +11

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

Yudong Cao, Yifei Ding, Minping Jia et al. · Reliability Engineering & System Safety · 2021 · 325 citations

Engineering, Machine Learning, Life Prediction +11

Inverse Gaussian process models for degradation analysis: A Bayesian perspective

Weiwen Peng, Yan‐Feng Li, Yuan‐Jian Yang et al. · Reliability Engineering & System Safety · 2014 · 214 citations

Bayesian Statistic, Bayesian Perspective, Gaussian Process +5

An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction

Han Wang, Xiaobing Ma, Yu Zhao · Mechanical Systems and Signal Processing · 2019 · 152 citations

Engineering, Data Science, Life Prediction +11

Fault prediction of bearings based on LSTM and statistical process analysis

Junqiang Liu, Pan Chunlu, Lei Fan et al. · Reliability Engineering & System Safety · 2021 · 126 citations

Fault Diagnosis, Condition Monitoring, Engineering +6