According to our database1, Haidong Shao authored at least 7 papers between 2017 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale.
Proceedings of the 2019 International Conference on Management of Data, 2019
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network.
IEEE Trans. Industrial Electronics, 2018
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine.
Knowl.-Based Syst., 2018
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery.
Journal of Intelligent and Fuzzy Systems, 2018
Rolling bearing fault detection using continuous deep belief network with locally linear embedding.
Computers in Industry, 2018
Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
An enhancement deep feature fusion method for rotating machinery fault diagnosis.
Knowl.-Based Syst., 2017