Author Info
Name
Affiliation
Papers
HAIDONG SHAO
School of Aeronautics, Northwestern Polytechnical University, Xi'an, China
27
Collaborators
Citations 
PageRank 
90
63
10.49
Referers 
Referees 
References 
233
185
75
Search Limit
100233
Title
Citations
PageRank
Year
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises00.342023
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network00.342022
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework10.372022
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates00.342022
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix00.342022
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples00.342022
Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning00.342022
Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor Under Varying Speed and Load Condition00.342022
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case10.362022
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine40.432022
Motor Fault Diagnosis Based on Scale Invariant Image Features10.362022
End-To-End Unsupervised Fault Detection Using A Flow-Based Model00.342021
A Stacked GRU-RNN-based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation40.462021
Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images30.392021
Intelligent Fault Diagnosis Of Machinery Using Digital Twin-Assisted Deep Transfer Learning00.342021
Multi-Sensor Gearbox Fault Diagnosis By Using Feature-Fusion Covariance Matrix And Multi-Riemannian Kernel Ridge Regression10.352021
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance40.422021
Intelligent Fault Diagnosis of Rolling Bearing Using Adaptive Deep Gated Recurrent Unit00.342020
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing10.342020
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE20.362020
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions10.352020
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples10.362020
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples10.372019
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery.00.342018
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network.130.652018
Rolling bearing fault detection using continuous deep belief network with locally linear embedding.50.432018
An enhancement deep feature fusion method for rotating machinery fault diagnosis.200.782017