IntroductionResearcher and doctoral supervisor at the School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology. My research focuses on intelligent early warning and fault diagnosis of equipment based on big data analysis, research and development of intelligent interlocking systems, intelligent maintenance support, and development and application of engine PHM systems. Executive Director of the Chinese Society of Vibration Engineering and Executive Director of the Fault Diagnosis Committee of the Chinese Society of Vibration Engineering.Obtained 18 national authorized invention patents, published over 40 papers in high-level academic journals both domestically and internationally, and authored 1 monograph; Received 1 Special Prize for Scientific Progress in the Petroleum and Chemical Automation Industry (ranked 1st), 1 First Prize for Scientific Progress in the Petroleum and Chemical Automation Industry (ranked 2nd), and 1 Third Prize for Scientific Progress in Beijing (ranked 1st). EducationWork ExperienceSocial PositionSocial ActivitiesResearchDynamics Calculation and Fault Mechanism of Complex Mechanical Systems High end mechanical equipment status monitoring and advanced signal processing Intelligent diagnosis and health management of high-end mechanical equipment faults Teaching《Fundamentals of Mechanical Equipment Fault Diagnosis》 PostgraduatesFundingNational 863 project and one research project, Ministry of Science and Technology 973 project, and more than 10 provincial and ministerial level scientific research projects. Vertical ProjectHorizontal ProjectPublications[1] Jiang Zhinong Hu MH, Feng K, Wang H,A SVDD and K-Means Based Early Warning Method for Dual-Rotor Equipment under Time-Varying Operating Conditions, SHOCK AND VIBRATION, 2018,DOI: 10.1155/2018/5382398 [2] Jiang Zhinong, Hu Minghui, Feng Kun, Weak Fault Feature Extraction Scheme for Intershaft Bearings Based on Linear Prediction and Order Tracking in the Rotation Speed Difference Domain, APPLIED SCIENCES-BASEL, 2017, 7(9), DOI: 10.3390/app7090937 [3] Zhang Ming, Jiang Zhinong, Feng Kun, Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017,93:460-493. [4] Zhang Ming, Jiang Zhinong, Gao Jinji, Dynamic Analysis of Integrally Geared Compressors with Varying Workloads, SHOCK AND VIBRATION, 2016, DOI: 10.1155/2016/2594635. [5] Feng K., Jiang Zhinong., He W., Ma B., A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis, Expert Systems with Applications, 2011, 38(10): 12721–12729. [6] Feng K., Jiang Zhinong, He W., Qin Q., Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet, Measurement, 2011, 44(9): 1582–1591. [7] Guangfu B, Zhinong Jiang, Xuejun L, Dhillon BS, Weighted Multi-sensor Data Level Fusion Method of Vibration Signal Based on Correlation Function, CHINESE JOURNAL OF MECHANICAL ENGINEEYING, 2011, 24(5): 899 – 904. [8] Q Qin, Zhinong Jiang, W He, K Feng, Time delay based all-frequency correction method for discrete spectrum, High Technology Letters, 2011, 7(1): 106–111. [9] W He, Zhinong Jiang, Q Qin, A joint adaptive wavelet filter and morphological signal processing method for weak mechanical impulses extraction, Journal of Mechanical Science and Technology, 2010, 24(8): 1709–1716. [10] W He, Zhinong Jiang, K Feng, Bearing fault detection based on optimal wavelet filter and sparse code shrinkage, Measurement, 2009, 42(7): 1092–1102. Awardseceived 1 Special Prize for Scientific Progress in the Petroleum and Chemical Automation Industry (ranked 1st), 1 First Prize for Scientific Progress in the Petroleum and Chemical Automation Industry (ranked 2nd), and 1 Third Prize for Scientific Progress in Beijing (ranked 1st). PatentHonor RewardAdmissions Information |