Yaguo Lei

Applications of machine learning to machine fault diagnosis: A review and roadmap

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

A review on empirical mode decomposition in fault diagnosis of rotating machinery

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

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

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

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

Condition monitoring and fault diagnosis of planetary gearboxes: A review

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods