| 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 | 679 | 2018 |
| 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 | 476 | 2016 |
| 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 | 371 | 2016 |
| 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 | 321 | 2015 |
| 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 | 265 | 2016 |
| 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 | 155 | 2016 |
| A systematic review of fuzzy formalisms for bearing fault diagnosis C Li, JV De Oliveira, M Cerrada, D Cabrera, RV Sánchez, G Zurita IEEE Transactions on Fuzzy Systems 27 (7), 1362-1382, 2018 | 132 | 2018 |
| Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor D Cabrera, A Guamán, S Zhang, M Cerrada, RV Sánchez, J Cevallos, ... Neurocomputing 380, 51-66, 2020 | 114 | 2020 |
| 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 | 114 | 2016 |
| 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 | 111 | 2017 |
| 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 | 110 | 2015 |
| Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN RV Sanchez, P Lucero, RE Vasquez, M Cerrada, JC Macancela, ... Journal of Intelligent & Fuzzy Systems 34 (6), 3463-3473, 2018 | 103 | 2018 |
| A comparison of fuzzy clustering algorithms for bearing fault diagnosis C Li, M Cerrada, D Cabrera, RV Sanchez, F Pacheco, G Ulutagay, ... Journal of Intelligent & Fuzzy Systems 34 (6), 3565-3580, 2018 | 95 | 2018 |
| Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation D Cabrera, F Sancho, C Li, M Cerrada, RV Sánchez, F Pacheco, ... Applied Soft Computing 58, 53-64, 2017 | 84 | 2017 |
| Agents-based design for fault management systems in industrial processes M Cerrada, J Cardillo, J Aguilar, R Faneite Computers in Industry 58 (4), 313-328, 2007 | 83 | 2007 |
| Generative adversarial networks selection approach for extremely imbalanced fault diagnosis of reciprocating machinery D Cabrera, F Sancho, J Long, RV Sánchez, S Zhang, M Cerrada, C Li IEEE Access 7, 70643-70653, 2019 | 71 | 2019 |
| A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions F Pacheco, JV de Oliveira, RV Sánchez, M Cerrada, D Cabrera, C Li, ... Neurocomputing 194, 192-206, 2016 | 71 | 2016 |
| Hierarchical feature selection based on relative dependency for gear fault diagnosis M Cerrada, RV Sánchez, F Pacheco, D Cabrera, G Zurita, C Li Applied Intelligence 44, 687-703, 2016 | 69 | 2016 |
| Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition D Cabrera, F Sancho, RV Sánchez, G Zurita, M Cerrada, C Li, ... Frontiers of Mechanical Engineering 10, 277-286, 2015 | 66 | 2015 |
| Observer-biased bearing condition monitoring: From fault detection to multi-fault classification C Li, JV De Oliveira, M Cerrada, F Pacheco, D Cabrera, V Sanchez, ... Engineering Applications of Artificial Intelligence 50, 287-301, 2016 | 60 | 2016 |
Chuan LIProfessor, Chongqing Technology and Business UniversityEmail verificata su ctbu.edu.cn
