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Xiaochuan Li
Xiaochuan Li
在 dmu.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prognosis of a wind turbine gearbox bearing using supervised machine learning
F Elasha, S Shanbr, X Li, D Mba
Sensors 19 (14), 3092, 2019
822019
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
742018
Multidimensional prognostics for rotating machinery: A review
X Li, F Duan, D Mba, I Bennett
Advances in Mechanical Engineering 9 (2), 1687814016685004, 2017
502017
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
482019
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
432019
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
422019
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
352019
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
322019
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
262019
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
212019
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
192021
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
182020
Terrain adaptive estimation of instantaneous centres of rotation for tracked robots
C Wang, W Lv, X Li, M Mei
Complexity 2018 (1), 4816712, 2018
172018
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
152018
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
142021
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
122018
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
112020
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
102021
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
102019
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
82023
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