Chuan LI
Chuan LI
Professor, Chongqing Technology and Business University
Verified email at
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Gearbox fault identification and classification with convolutional neural networks
ZQ Chen, C Li, RV Sanchez
Shock and Vibration 2015, 2015
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
C Li, RV Sanchez, G Zurita, M Cerrada, D Cabrera, RE Vásquez
Mechanical Systems and Signal Processing 76, 283-293, 2016
A review on data-driven fault severity assessment in rolling bearings
M Cerrada, RV Sánchez, C Li, F Pacheco, D Cabrera, JV de Oliveira, ...
Mechanical Systems and Signal Processing 99, 169-196, 2018
Time–frequency signal analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform
C Li, M Liang
Mechanical Systems and Signal Processing 26, 205-217, 2012
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
C Li, RV Sanchez, G Zurita, M Cerrada, D Cabrera, RE Vásquez
Neurocomputing 168, 119-127, 2015
Fault diagnosis in spur gears based on genetic algorithm and random forest
M Cerrada, G Zurita, D Cabrera, RV Sánchez, M Artés, C Li
Mechanical Systems and Signal Processing 70, 87-103, 2016
Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
Y Bai, Y Li, X Wang, J Xie, C Li
Atmospheric pollution research 7 (3), 557-566, 2016
A generalized synchrosqueezing transform for enhancing signal time–frequency representation
C Li, M Liang
Signal Processing 92 (9), 2264-2274, 2012
Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
C Li, RV Sánchez, G Zurita, M Cerrada, D Cabrera
Sensors 16 (6), 895, 2016
Forecasting the natural gas demand in China using a self-adapting intelligent grey model
B Zeng, C Li
Energy 112, 810-825, 2016
Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
Y Bai, Z Chen, J Xie, C Li
Journal of hydrology 532, 193-206, 2016
Criterion fusion for spectral segmentation and its application to optimal demodulation of bearing vibration signals
C Li, M Liang, T Wang
Mechanical Systems and Signal Processing 64, 132-148, 2015
Deep neural networks-based rolling bearing fault diagnosis
Z Chen, S Deng, X Chen, C Li, RV Sanchez, H Qin
Microelectronics Reliability 75, 327-333, 2017
Community detection in incomplete information networks
W Lin, X Kong, PS Yu, Q Wu, Y Jia, C Li
Proceedings of the 21st international conference on World Wide Web, 341-350, 2012
Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement
C Li, V Sanchez, G Zurita, MC Lozada, D Cabrera
ISA transactions 60, 274-284, 2016
Improved multi-variable grey forecasting model with a dynamic background-value coefficient and its application
B Zeng, C Li
Computers & Industrial Engineering 118, 278-290, 2018
Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
C Li, D Cabrera, JV de Oliveira, RV Sanchez, M Cerrada, G Zurita
Mechanical Systems and Signal Processing 76, 157-173, 2016
Multi-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
M Cerrada, RV Sánchez, D Cabrera, G Zurita, C Li
Sensors 15 (9), 23903-23926, 2015
Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
F Pacheco, M Cerrada, RV Sánchez, D Cabrera, C Li, JV de Oliveira
Expert Systems with Applications 71, 69-86, 2017
A multi-scale relevance vector regression approach for daily urban water demand forecasting
Y Bai, P Wang, C Li, J Xie, Y Wang
Journal of Hydrology 517, 236-245, 2014
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