Yuandong Xu

Imperial College London, University of Huddersfield, Nanjing University of Science and Technology

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About

Yuandong Xu is a leading researcher in machinery condition monitoring and fault diagnostics, with a primary focus on complex rotating machinery and industrial robotic systems. His most impactful contribution is the development of the Modulation Signal Bispectrum Enhanced Squared Envelope (MSB-SE) method, a sophisticated signal processing technique for detecting and diagnosing compound faults in epicyclic gearboxes—critical components in wind turbines, aerospace, and automotive systems. This work, published in 2022, has already garnered 22 citations, reflecting its immediate relevance to the field. Xu’s research extends to vibration analysis for condition monitoring of industrial robots, addressing the growing need for predictive maintenance in automated manufacturing. Earlier in his career, he contributed to control theory with a study on fuzzy moving fast terminal sliding mode control for robotic manipulators, demonstrating robustness against uncertainties and disturbances. With a publication record spanning from advanced signal processing to nonlinear control, Xu’s work bridges fundamental theory and practical engineering challenges, making him a valuable resource for students and researchers interested in fault detection, gearbox diagnostics, and intelligent control systems.