According to our database1, Chaofan Hu authored at least 5 papers between 2019 and 2021.
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A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis.
Appl. Intell., 2021
A Novel Method for Predicting Fault Labels of Roller Bearing by Generalized Laplacian Matrix.
IEEE Access, 2021
Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks.
Knowl. Based Syst., 2020
IEEE Access, 2019
A tensor higher-order singular value decomposition for denoising of rolling element bearings with compound fault.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019