Data and Knowledge-Driven Aircraft Fault Data Augmentation and Lifetime Prediction
Research Seminar Series
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Date
08 Sep 2026
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Organiser
Department of Industrial and Systems Engineering, PolyU
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Time
10:00 - 11:30
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Venue
Online via ZOOM
Speaker
Prof. Jun Zhu
Remarks
Meeting link will be sent to successful registrants.. If you have enquiries regarding E-certificate after the seminar, please contact david.kuo@polyu.edu.hk.
Summary
Intelligent operation and maintenance of aircraft serves as a critical guarantee for flight safety. This speech systematically reviews the research background, key challenges, series of achievements, and future development trends. Aiming at the existing challenges including difficult multi‑source information fusion, obstacles in domain information transfer, insufficient degradation characterization capability, poor accuracy of life prediction, and difficulties in embedding prior knowledge into models, three research directions are proposed: aircraft fault diagnosis based on multi‑source information fusion and transfer, aircraft fault prediction driven by synergistic data‑knowledge approaches, and research on prior‑knowledge‑empowered autonomous fault perception for aircraft. In collaboration with COMAC and the Second Academy of Aerospace Science and Industry of China, application validations have been carried out on key aircraft equipment such as pressure shut‑off regulating valves, aero‑engines, and satellites.
Keynote Speaker
Prof. Jun Zhu
Associate Professor
School of Civil Aviation, Northwestern Polytechnical University, China
Jun Zhu received the Ph.D. degree from the National University of Singapore, Singapore, in 2020. He is currently an Associate Professor and a PhD supervisor with the School of Civil Aviation, Northwestern Polytechnical University, Xi'an, China. His research interests include interpretable aircraft fault-data generation, transfer fault diagnosis, and remaining useful life prediction. He has presided many research projects, including the Youth Program of the National Natural Science Foundation of China, military vertical research projects, the Special Grant of China Postdoctoral Science Foundation, the General Grant of China Postdoctoral Science Foundation, and the Youth Program of Shaanxi Provincial Natural Science Foundation. He has published more than 30 high‑level papers in prestigious domestic and international academic journals such as IEEE Transactions on Industrial Electronics, Mechanical Systems and Signal Processing, and IEEE Transactions on Industrial Informatics. The total citation of his papers exceeds 3000, among which 16 papers are published as the first or corresponding author. The highest single‑paper citation is over 800, and 7 papers have been selected as ESI Highly Cited Papers. He serves as an Associate Editor for IEEE Transactions on Instrumentation and Measurement and received the 2024 IEEE TIM Andy Chi Best Paper Award.
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