Chuan LI
Chuan LI
Professor, Chongqing Technology and Business University
Verified email at ctbu.edu.cn
Title
Cited by
Cited by
Year
Gearbox fault identification and classification with convolutional neural networks
ZQ Chen, C Li, RV Sanchez
Shock and Vibration 2015, 2015
2522015
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
2312016
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
2212018
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
2212012
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
1972015
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
1792016
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
1692016
A generalized synchrosqueezing transform for enhancing signal time–frequency representation
C Li, M Liang
Signal Processing 92 (9), 2264-2274, 2012
1542012
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
1412016
Forecasting the natural gas demand in China using a self-adapting intelligent grey model
B Zeng, C Li
Energy 112, 810-825, 2016
1322016
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
1312016
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
1302015
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
1202017
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
1072012
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
892016
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
832018
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
832016
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
782015
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
732017
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
712014
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