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Chuang Sun
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Deep transfer learning based on sparse autoencoder for remaining useful life prediction of tool in manufacturing
C Sun, M Ma, Z Zhao, S Tian, R Yan, X Chen
IEEE transactions on industrial informatics 15 (4), 2416-2425, 2018
4142018
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Z Zhao, T Li, J Wu, C Sun, S Wang, R Yan, X Chen
ISA transactions 107, 224-255, 2020
3452020
Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine
R Liu, G Meng, B Yang, C Sun, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1310-1320, 2016
3402016
Deep coupling autoencoder for fault diagnosis with multimodal sensory data
M Ma, C Sun, X Chen
IEEE Transactions on Industrial Informatics 14 (3), 1137-1145, 2018
2442018
WaveletKernelNet: An interpretable deep neural network for industrial intelligent diagnosis
T Li, Z Zhao, C Sun, L Cheng, X Chen, R Yan, RX Gao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2302-2312, 2021
2382021
Few-shot transfer learning for intelligent fault diagnosis of machine
J Wu, Z Zhao, C Sun, R Yan, X Chen
Measurement 166, 108202, 2020
2052020
Knowledge transfer for rotary machine fault diagnosis
R Yan, F Shen, C Sun, X Chen
IEEE Sensors Journal 20 (15), 8374-8393, 2019
2052019
Multireceptive field graph convolutional networks for machine fault diagnosis
T Li, Z Zhao, C Sun, R Yan, X Chen
IEEE Transactions on Industrial Electronics 68 (12), 12739-12749, 2020
1932020
Sparse deep stacking network for fault diagnosis of motor
C Sun, M Ma, Z Zhao, X Chen
IEEE Transactions on Industrial Informatics 14 (7), 3261-3270, 2018
1872018
Remaining life prognostics of rolling bearing based on relative features and multivariable support vector machine
X Chen, Z Shen, Z He, C Sun, Z Liu
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2013
1772013
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
T Li, Z Zhou, S Li, C Sun, R Yan, X Chen
Mechanical Systems and Signal Processing 168, 108653, 2022
1622022
Domain adversarial graph convolutional network for fault diagnosis under variable working conditions
T Li, Z Zhao, C Sun, R Yan, X Chen
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
1492021
Discriminative deep belief networks with ant colony optimization for health status assessment of machine
M Ma, C Sun, X Chen
IEEE Transactions on Instrumentation and Measurement 66 (12), 3115-3125, 2017
1282017
Fault-attention generative probabilistic adversarial autoencoder for machine anomaly detection
J Wu, Z Zhao, C Sun, R Yan, X Chen
IEEE Transactions on Industrial Informatics 16 (12), 7479-7488, 2020
972020
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction
T Li, Z Zhao, C Sun, R Yan, X Chen
Reliability Engineering & System Safety 215, 107878, 2021
942021
A monotonic degradation assessment index of rolling bearings using fuzzy support vector data description and running time
Z Shen, Z He, X Chen, C Sun, Z Liu
Sensors 12 (8), 10109-10135, 2012
882012
Explainable convolutional neural network for gearbox fault diagnosis
J Grezmak, P Wang, C Sun, RX Gao
Procedia CIRP 80, 476-481, 2019
792019
Research on bearing life prediction based on support vector machine and its application
C Sun, Z Zhang, Z He
Journal of Physics: Conference Series 305 (1), 012028, 2011
622011
Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization
C Sun, P Wang, R Yan, RX Gao, X Chen
Mechanical Systems and Signal Processing 114, 25-34, 2019
592019
Adaptive Channel Weighted CNN with Multi-Sensor Fusion for Condition Monitoring of Helicopter Transmission System
T Li, Z Zhao, C Sun*, R Yan, X Chen
IEEE Sensors Journal, 2020
572020
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