| 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 | 616 | 2018 |
| Gearbox fault identification and classification with convolutional neural networks ZQ Chen, C Li, RV Sanchez Shock and Vibration 2015, 2015 | 464 | 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 | 440 | 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 | 335 | 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 | 295 | 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 | 253 | 2017 |
| 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 | 246 | 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 | 145 | 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 | 114 | 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 | 111 | 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 | 107 | 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 | 107 | 2015 |
| 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 Sanchez, J Cevallos, ... Neurocomputing 380, 51-66, 2020 | 103 | 2020 |
| Multi-layer neural network with deep belief network for gearbox fault diagnosis Z Chen, C Li, RV Sánchez Journal of Vibroengineering 17 (5), 2379-2392, 2015 | 94 | 2015 |
| 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 | 91 | 2018 |
| 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 | 90 | 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 | 79 | 2017 |
| 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 | 69 | 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 | 68 | 2016 |
| Fault diagnosis of wind turbine gearbox based on the optimized LSTM neural network with cosine loss A Yin, Y Yan, Z Zhang, C Li, RV Sánchez Sensors 20 (8), 2339, 2020 | 66 | 2020 |
Mariela Cerrada Lozada (ORCID: 000...Universidad Politécnica Salesiana, Cuenca-EcuadorVerified email at ups.edu.ec
