Haidong Shao
Hunan University(CN)
Publications by Year
Research Areas
Machine Fault Diagnosis Techniques, Gear and Bearing Dynamics Analysis, Fault Detection and Control Systems, Engineering Diagnostics and Reliability, Anomaly Detection Techniques and Applications
Most-Cited Works
- → A novel deep autoencoder feature learning method for rotating machinery fault diagnosis(2017)670 cited
- → Rolling bearing fault diagnosis using an optimization deep belief network(2015)508 cited
- → Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network(2017)474 cited
- → A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders(2017)453 cited
- → Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images(2020)434 cited
- → Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing(2017)371 cited
- → A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation(2021)370 cited
- → Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning(2021)346 cited
- → Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine(2017)318 cited
- → LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention(2023)311 cited