Summary
Dr Yuandong Xu is a Research Associate in the Dynamics Group & Rolls-Royce Vibration University Technology Centre (VUTC), Department of Mechanical Engineering at Imperial College London. He has worked in the field of machinery condition monitoring for over seven years in developing advanced signal processing methods, effective and efficient detection and diagnosis approaches, system identification methods, numerical and analytic models, experiment systems, data acquisition software and hardware, and online condition monitoring systems.
Research Interests
- Fault Detection and Diagnosis
- Vibroacoustic Testing and Analysis
- Signal Processing
- Experimental/Operational Modal Analysis
- Development of Online Condition Monitoring Systems
Publications
Journals
Xu Y, Tang X, Feng G, et al., 2022, Orthogonal on-rotor sensing vibrations for condition monitoring of rotating machines, Journal of Dynamics, Monitoring and Diagnostics, Vol:1, ISSN:2831-5308, Pages:29-36
Yan S, Shao H, Xiao Y, et al., 2022, Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates, Advanced Engineering Informatics, Vol:53, ISSN:1474-0346
Tang X, Xu Y, Sun X, et al., 2022, Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements., Isa Transactions, ISSN:0019-0578
Xu Y, Feng G, Tang X, et al., 2022, A modulation signal bispectrum enhanced squared envelope for the detection and diagnosis of compound epicyclic gear faults, Structural Health Monitoring, ISSN:1475-9217, Pages:147592172210985-147592172210985
Fu C, Lu K, Xu YD, et al., 2022, Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties, Applied Mathematics and Mechanics-english Edition, Vol:43, ISSN:0253-4827, Pages:275-294