| Prognosis of a wind turbine gearbox bearing using supervised machine learning F Elasha, S Shanbr, X Li, D Mba Sensors 19 (14), 3092, 2019 | 82 | 2019 |
| Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor X Li, F Duan, P Loukopoulos, I Bennett, D Mba Control Engineering Practice 72, 177-191, 2018 | 74 | 2018 |
| Multidimensional prognostics for rotating machinery: A review X Li, F Duan, D Mba, I Bennett Advances in Mechanical Engineering 9 (2), 1687814016685004, 2017 | 50 | 2017 |
| Abrupt fault remaining useful life estimation using measurements from a reciprocating compressor valve failure P Loukopoulos, G Zolkiewski, I Bennett, S Sampath, P Pilidis, X Li, D Mba Mechanical Systems and Signal Processing 121, 359-372, 2019 | 48 | 2019 |
| A novel diagnostic and prognostic framework for incipient fault detection and remaining service life prediction with application to industrial rotating machines X Li, Y Xiaoyu, Y Yang, I Bennett, D Mba Applied Soft Computing 82, 1-15, 2019 | 43 | 2019 |
| Comparative study of different methods in vibration-based terrain classification for wheeled robots with shock absorbers M Mei, J Chang, Y Li, Z Li, X Li, W Lv Sensors 19 (5), 1137, 2019 | 42 | 2019 |
| Remaining useful life prediction of rolling element bearings using supervised machine learning X Li, F Elasha, S Shanbr, D Mba Energies 12 (14), 2705, 2019 | 35 | 2019 |
| A novel multi-information fusion grey model and its application in wear trend prediction of wind turbines X Yang, Z Fang, Y Yang, D Mba, X Li Applied Mathematical Modelling 71, 543-557, 2019 | 32 | 2019 |
| Condition monitoring of rotating machines under time-varying conditions based on adaptive canonical variate analysis X Li, Y Yang, I Bennett, D Mba Mechanical Systems and Signal Processing 131, 348-363, 2019 | 26 | 2019 |
| Canonical variate residuals-based contribution map for slowly evolving faults X Li, X Yang, Y Yingjie, I Bennett, A Collop, D Mba Journal of Process Control 76, 87-97, 2019 | 21 | 2019 |
| Just-in-time learning based probabilistic gradient boosting tree for valve failure prognostics X Li, D Mba, T Lin, Y Yang, P Loukopoulos Mechanical Systems and Signal Processing 150, 2021 | 19 | 2021 |
| Laplacian support vector machine for vibration-based robotic terrain classification W Shi, Z Li, W Lv, Y Wu, J Chang, X Li Electronics 9 (3), 513, 2020 | 18 | 2020 |
| Terrain adaptive estimation of instantaneous centres of rotation for tracked robots C Wang, W Lv, X Li, M Mei Complexity 2018 (1), 4816712, 2018 | 17 | 2018 |
| Canonical variate analysis, probability approach and support vector regression for fault identification and failure time prediction X Li, F Duan, I Bennett, D Mba Journal of Intelligent & Fuzzy Systems 34 (6), 3771-3783, 2018 | 15 | 2018 |
| A novel condition indicator for bearing fault detection within helicopter transmission F Elasha, X Li, D Mba, A Ogundare, S Ojolo Journal of Vibration Engineering & Technologies 9, 215-224, 2021 | 14 | 2021 |
| Rotating machine prognostics using system-level models X Li, F Duan, D Mba, I Bennett Engineering Asset Management 2016: Proceedings of the 11th World Congress on …, 2018 | 12 | 2018 |
| Fault diagnosis of a granulator operating under time-varying conditions using canonical variate analysis E Quatrini, X Li, D Mba, F Costantino Energies 13 (17), 4427, 2020 | 11 | 2020 |
| Similarity-based information fusion grey model for remaining useful life prediction of aircraft engines X Yang, Z Fang, X Li, Y Yang, D Mba Grey Systems: Theory and Application 11 (3), 463-483, 2021 | 10 | 2021 |
| An intelligent diagnostic and prognostic framework for large- scale rotating machinery in the presence of scarce failure data X Li, X Yang, Y Yang, I Bennett, D Mba Structural Health Monitoring, 2019 | 10 | 2019 |
| Adaptive fuzzy variable fractional-order sliding mode vibration control of uncertain building structures K Xu, L Chen, AM Lopes, M Wang, X Li Engineering Structures 282, 115772, 2023 | 8 | 2023 |
