| Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach Y Ding, L Ma, J Ma, M Suo, L Tao, Y Cheng, C Lu Advanced Engineering Informatics 42, 100977, 2019 | 162 | 2019 |
| A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell Y Cheng, N Zerhouni, C Lu International Journal of Hydrogen Energy 43 (27), 12314-12327, 2018 | 158 | 2018 |
| Fault diagnosis for rotating machinery: A method based on image processing C Lu, Y Wang, M Ragulskis, Y Cheng PloS one 11 (10), e0164111, 2016 | 139 | 2016 |
| A review of stochastic battery models and health management L Tao, J Ma, Y Cheng, A Noktehdan, J Chong, C Lu Renewable and Sustainable Energy Reviews 80, 716-732, 2017 | 126 | 2017 |
| A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries J Ma, P Shang, X Zou, N Ma, Y Ding, J Sun, Y Cheng, L Tao, C Lu, Y Su, ... Applied Energy 282, 116167, 2021 | 80 | 2021 |
| Fault diagnosis of gearbox using empirical mode decomposition and multi-fractal detrended cross-correlation analysis H Liu, J Zhang, Y Cheng, C Lu Journal of Sound and Vibration 385, 350-371, 2016 | 76 | 2016 |
| Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach Y Cheng, C Lu, T Li, L Tao Energy 90, 1983-1993, 2015 | 73 | 2015 |
| Cycle life test optimization for different Li-ion power battery formulations using a hybrid remaining-useful-life prediction method J Ma, S Xu, P Shang, W Qin, Y Cheng, C Lu, Y Su, J Chong, H Jin, Y Lin Applied Energy 262, 114490, 2020 | 57 | 2020 |
| An ensemble prognostic method for lithium-ion battery capacity estimation based on time-varying weight allocation Y Cheng, D Song, Z Wang, C Lu, N Zerhouni Applied Energy 266, 114817, 2020 | 47 | 2020 |
| Degradation prognosis for proton exchange membrane fuel cell based on hybrid transfer learning and intercell differences J Ma, X Liu, X Zou, M Yue, P Shang, L Kang, S Jemei, C Lu, Y Ding, ... ISA transactions 113, 149-165, 2021 | 42 | 2021 |
| Knowledge graph construction technology and its application in aircraft power system fault diagnosis TP Nie, JY Zeng, YJ Cheng, L Ma Acta Aeronautica et Astronautica Sinica 43 (8), 46-62, 2022 | 33 | 2022 |
| Robust state of charge estimation based on a sequence-to-sequence mapping model with process information L Ma, Z Wang, F Yang, Y Cheng, C Lu, L Tao, T Zhou Journal of Power Sources 474, 228691, 2020 | 30 | 2020 |
| An ensemble learning-based remaining useful life prediction method for aircraft turbine engine J Zeng, Y Cheng IFAC-PapersOnLine 53 (3), 48-53, 2020 | 28 | 2020 |
| Fault diagnosis for rolling bearing based on SIFT-KPCA and SVM Y Cheng, H Yuan, H Liu, C Lu Engineering Computations 34 (1), 53-65, 2017 | 27 | 2017 |
| Fault diagnosis for rolling bearing under variable conditions based on image recognition B Zhou, Y Cheng Shock and Vibration 2016 (1), 1948029, 2016 | 20 | 2016 |
| Lithium-ion battery capacity fading dynamics modelling for formulation optimization: A stochastic approach to accelerate the design process L Tao, Y Cheng, C Lu, Y Su, J Chong, H Jin, Y Lin, A Noktehdan Applied energy 202, 138-152, 2017 | 19 | 2017 |
| A health state-related ensemble deep learning method for aircraft engine remaining useful life prediction Y Cheng, J Zeng, Z Wang, D Song Applied Soft Computing 135, 110041, 2023 | 18 | 2023 |
| Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision M Suo, Y Cheng, C Zhuang, Y Ding, C Lu, L Tao Neural Computing and Applications 32, 17731-17758, 2020 | 17 | 2020 |
| An approach to fault diagnosis for gearbox based on image processing Y Wang, Y Cheng Shock and Vibration 2016 (1), 5898052, 2016 | 17 | 2016 |
| Fault diagnosis for rolling bearings under variable conditions based on visual cognition Y Cheng, B Zhou, C Lu, C Yang Materials 10 (6), 582, 2017 | 16 | 2017 |
