IntroductionHu Minghui, born in May 1990, is a professor at the College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, where he serves as the Deputy Director of the Department of Basic Engineering. He was selected for the National Postdoctoral Innovation Talent Support Program in 2018 and the Youth Talent Support Project in 2022. His research primarily focuses on fault diagnosis and vibration suppression in aero-engines. He is responsible for the construction, maintenance, and data analysis of the aero-engine test rig and monitoring system at the Center for Diagnosis and Self-Healing Engineering Research. Hu has collaborated with various enterprises and institutions in the aviation sector, and his research outcomes have been applied in multiple engine development and support units for nearly 7 years, receiving positive feedback from these organizations. He has managed 7 national-level projects and has published over 20 academic papers in journals. He has also received the First Prize for Scientific and Technological Progress from the China Petroleum and Chemical Automation Application Association. In addition, he serves as a youth editorial board member for several national and international journals, including the Journal of Mechanical Engineering, Journal of Dynamics, Monitoring and Diagnostics, and Journal of Advanced Manufacturing Science and Technology. He is also a peer reviewer for journals such as those under the Ministry of Education, MSSP, IEEE Sensors, IEEE Transactions on Instrumentation and Measurement, and the Journal of Mechanical Engineering. EducationWork ExperienceSocial PositionSocial ActivitiesResearchFault diagnosis and vibration suppression of aero-engines TeachingMechanical Principle Introduction to Professional Technology (Bilingual) Progress in Intelligent Monitoring Technology for Power Equipment Health PostgraduatesFunding1. Research on vibration fault simulation technology, other topics, project time: August 1, 2024 to November 30, 2024 2. XJH2024080043, commissioned project by enterprises and institutions, project duration: July 1, 2024 to November 30, 2025 3. Research on intelligent warning technology for reciprocating compressor faults in refining and chemical enterprises, technology project commissioned by enterprises and institutions, project time: March 1, 2021 to December 31, 2021 4. XJZ2023050039, technology project of the competent department, project time: December 1, 2022 to December 31, 2024 5. XJZ2023020018, technology project of the competent department, project time: November 1, 2022 to November 30, 2025 6. BHJG2021016, Science and Technology Project of the competent department, project time: June 2, 2020 to December 31, 2021 Vertical ProjectHorizontal ProjectPublications1）Tao Zhou; Yangfei Jia; Limin Zou; Minghui Hu*; Vibration characteristics of blade-casing rubbing fault considering rotor–stator coupling. Mechanical Systems and Signal Processing, 2024, 218: 111589. 2）Fan Yunfeng; Wang Hao; Minghui Hu*; Prediction of Coefficient of Restitution for Impact Elastoplastic Spheres Considering Finite Plate Thickness. Chinese Journal of Mechanical Engineering, 2024, 37(04):196-206. 3）Minghui Hu; Ya He*; Xinzhi Lin; Digital twin model of gas turbine and its application in warning of performance fault. Chinese Journal of Aeronautics, 2023, 36(03): 449-470. 4）Ling Wang; Minghui Hu*; Bo Ma; Zhinong Jiang; Time Synchronous Averaging Based on Cross-power Spectrum. Chinese Journal of Mechanical Engineering, 2023, 36(02): 214-221. 5）Ya He; Minghui Hu*; Zhinong Jiang; ;Feng Kun; Ming Xuan; Local maximum synchrosqueezes from entropy matching chirplet transform. Mechanical Systems and Signal Processing, 2022, 181. 6）Ya He; Zhinong Jiang; Minghui Hu*; Zhouzheng Li; Local maximum synchrosqueezing chirplet transform: an effective tool for strongly non-stationary signals of gas turbine, IEEE Transactions on Instrumentation and Measurement, 2021. 7）Ya He; Minghui Hu*; Kun Feng; Zhinong Jiang; Bearing condition evaluation based on the shock pulse method and principal resonance analysis, IEEE Transactions on Instrumentation and Measurement, 2021, 70. 8）Chen Wang; Minghui Hu*; Zhinong jiang; Yanfei Zuo; Zhenqiao Zhu; A Modal Parameter Identification Method Based on Improved Covariance-Driven SSI, Journal of Engineering for Gas Turbines and Power, 2020, 142(6). Awards1. Key technologies and engineering applications for health monitoring and intelligent operation and maintenance of process industry rotating machinery, December 8, 2021, social science and technology award, first prize PatentHonor RewardAdmissions Information |