IntroductionEducationWork ExperiencePhD, professor of Beijing University of Chemical Technology. Director of the Intelligent Operation and Maintenance Research Center of the National Key Laboratory of Compressor and System Technology, ISO International Vibration Analyst Level IV Certification (the highest international level), member of the Rotor Dynamics Professional Committee of the Chinese Society of Vibration Engineering , In 2017, he was selected into the first batch of the 100 Young Talents Program of Beijing University of Chemical Technology. In 2019, he was certified by the Ministry of Industry and Information Technology for the urgently needed talent training project. ResearchResearch interests include:intelligent operation and maintenance of equipment, equipment health monitoring, signal processing, artificial intelligence, and predictive maintenance. Since 2004, he has been engaged in dynamic analysis of rotating equipment and fault diagnosis of condition monitoring. By the end of 2024, he has diagnosed more than 2,000 faults of turbo-compressors, pumps, fans, aero-engines/gas turbines, and power generators. Teaching
TeachingPostgraduatesFunctions of Complex Variables and Integral Transforms Signals and Systems Advances in Intelligent Monitoring of Power Equipment Health Funding
FundingVertical ProjectHorizontal ProjectResponsible for 1 research project of the Key R&D Program of the Ministry of Science and Technology of China, From 2024.12-2027.12. Responsible for 1 sub-project of the NSFC Key Program. Presided over 1 NSFC Young Scientists project. Responsible for 2 research topics of the 973 project, and responsible for 1 research topic of National Key Research and Development Program of China, presided over 4 other basic research projects such as field fund projects PublicationsPublished more than 40 papers at home and abroad, including more than 20 SCI/EI papers as the first/corresponding author. Authorized more than 10 invention patents. Participated in the compilation of the first domestic textbook Intelligent Operation and Maintenance and Health Management, and was responsible for the petrochemical equipment part. Selected Papers： (1) Yuan Xiao, Kun Feng*(corresponding author), Hanyi Wang. Integrating Casing Vibration and Reconstructed Pressure Signal for Gas Turbine Blade Fracture Fault Detection. IEEE Transactions on Instrumentation and Measurement. Accepted in 23, Nov. 2024, SCI TOP (2) Xuan Ming; Kun Feng*(corresponding author); Yuan Xiao; Zhouzheng Li and Jinji Gao. An improved synchrosqueezing transform：A promising tool for reconstructing the blade passing frequency waveform of gas turbine. IEEE Transactions on Industrial Informatics.Vol. 20, no. 11, pp. 13223-13231, Nov. 2024, SCI TOP (3) Dongyan Miao, Kun Feng*(corresponding author), Yuan Xiao, Zhouzheng Li, and Jinji Gao.. Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization[J]. Sensors, 2024, 24(3): 941. (4) Kun Feng, Yuan Xiao*, Zhouzheng Li, Dongyan Miao. A fusion autoencoder model and piecewise anomaly index for aero-engine fault diagnosis. Applied Intelligence. 54.20 (2024): 10148-10160. (5) Yanfei Zuo, Jin Li, Kun Feng*(corresponding author), Zhinong Jiang. A 3-D finite element modeling method for time-varying rotor-support system based on rotating-fixed coordinates[J]. Journal of Sound and Vibration, 2024, 568: 117977. (6) Kun Feng; Yuan Xiao*; Zhouzheng Li; Zhinong Jiang; Fengshou Gu. Gas turbine blade fracturing fault diagnosis based on broadband casing vibration[J]. Measurement, 2023, 214: 112718, SCI TOP (7) Peng Zhang, Kun Feng*(corresponding author), Baoxia Liu, Yingli Li, Binbin Yan. Operational data-based adaptive improvement method of gas turbine component characteristics for performance simulation[J]. Journal of Mechanical Science and Technology, 2023, 37(12): 6691-6709. (8) Zhouzheng Li; Dongyan Miao; Kun Feng*(corresponding author). Determining dynamic thresholds for gas turbine engine condition monitoring[J]. IEEE Access, 2022, 10: 87404-87414. (9) Binbin Yan, Minghui Hu, Kun Feng*(corresponding author), and Zhinong Jiang.. Enhanced component analytical solution for performance adaptation and diagnostics of gas turbines[J]. Energies, 2021, 14(14): 4356. (10)Ya He, Kun Feng*(corresponding author), Minghui Hu, Zhinong Jiang. An MCM‐Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds.Shock and Vibration, 2020(1), 1745184 (11)Binbin Yan, Kun Feng*(corresponding author), Zhinong Jiang. A tuning scheme of cycle reference point for gas turbine adaptive performance simulation with field data. Journal of Mechanical Science and Technology. 34 (2020): 5279-5294. (12)Ya He; Minghui Hu; Kun Feng*(corresponding author); Zhinong Jiang. An intelligent fault diagnosis scheme using transferred samples for intershaft bearings under variable working conditions[J]. IEEE Access, 2020, 8: 203058-203069. (13)Zhinong Jiang, Minghui Hu, Kun Feng*(corresponding author), and Hao Wang. A SVDD and-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions. Shock and Vibration-Hindawi, 2018, Vol.2018, Article ID 5382398, 14 pages. Awards
AwardsPatent1st prize of Science and Technology Progress Award of Sinopec Automation Application Association(rank 2) 2nd prize of Hunan Provincial Natural Science Award(rank 2) 4 other provincial and ministerial science and technology progress awards |