Ming Zeng

Sex: Male Date of birth: Jan. 1988

Nationality: Han              Political status: Party member

Education level: Postgraduate  Degree: Ph. D

Graduated from: Hunan University     Title: Associate professor

Contact information:

E-mail: zengming@cug.edu.cn

Office: Room 431, No. 2 Teaching Building

Main experiences:

2016.07-present: Designated associate professor, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)

2010.09-2016.06: Ph. D, College of Mechanical and Vehicle Engineering, Hunan University

2006.09-2010.06: Bachelor, School of Electromechanical Engineering, Guangdong University of Technology

Main research fields:

Vibration signal processing and analysis; machine learning and pattern recognition; fault diagnosis and intelligent maintenance of mechanical equipment; residual life prediction of mechanical equipment parts (Welcome the students interested in condition monitoring of machinery and machine learning to apply for master degree programs)

Scientific research programs:

1. Youth Program of National Natural Science Foundation of China, 51705483, Discriminant sparse decomposition and its application in mechanical fault feature extraction, 2018/01-2020/12, PI

2. Fundamental Research Funds for the Central Universities, CUG170631, Research on the mechanical fault feature extraction method based on sparse decomposition, 2016/07-2019/06, PI

3. Enterprise sponsored program, 900215595, CMS system software development of *** Corporation, 2015/05-2016/05, participant

4. Scientific and Innovation Program for Postgraduates in Hunan Province, CX2014B146, Pattern recognition method based on elastic convex hull model and its application in mechanical fault diagnosis, 2014/09-2015/09, PI

5. General Program of National Natural Science Foundation of China, 51175158, Pattern recognition method based on variable prediction model and its application in mechanical fault diagnosis, 2012/01-2015/12, participant

6. General Program of National Natural Science Foundation of China, 51075131, Local characteristic-scale decomposition (LCD) method and its application in mechanical fault diagnosis, 2011/01-2013/12, participant

Publications:

1     Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. Normalized complex Teager energy operator demodulation method and its application to fault diagnosis in a rubbing rotor system [J]. Mechanical Systems and Signal Processing, 2015, 50-51: 380-399. (T2 journal, indexed by SCI)

2     Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings[J]. Mechanical Systems and Signal Processing, 2016, 66-67: 533-545. (T2 journal, indexed by SCI)

3     Ming Zeng, Yu Yang, Junsheng Cheng. A generalized Gilbert algorithm and an improved MIES for one-class support vector machine[J]. Knowledge-Based Systems, 2015, 90: 211-223. (T2 journal, indexed by SCI)

4     Ming Zeng, Yu Yang, Songrong Luo, Junsheng Cheng. One-class classification based on the convex hull for bearing fault detection[J]. Mechanical Systems and Signal Processing, 2016, 81: 274-293. (T2 journal, indexed by SCI)

5     Ming Zeng, Yu Yang, Junsheng Cheng. A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine[J].Knowledge-Based Systems, 2016, 109: 17-24. (T2 journal, indexed by SCI)

6     Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. Maximum margin classification based on flexible convex hulls [J]. Neurocomputing, 2015, 149: 957-965. (T3 journal, SCI)

7     Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. m-SVD noise reduction algorithm and its application in gear fault diagnosis [J]. Journal of Mechanical Engineering, 2015, 51(3): 95-103. (Indexed by EI)

8     Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. Normalized Complex Teager Energy Operator Demodulation Method and Its Application to Rotor Rub-impact Fault Diagnosis [J]. Journal of Mechanical Engineering, 2014, 50 (5): 65-73. (Indexed by EI)

9    Ming Zeng, Yu Yang, Jinde Zheng, Junsheng Cheng. Fault Diagnosis Approach for Gears Based on LCD and KNNCH Classification Algorithm [J]. China Mechanical Engineering, 2014, 25(15): 2049-2054.

10   Yu Yang, Ming Zeng, Junsheng Cheng.  Fault diagnosis approach for rolling bearing based on local characteristic-scale decomposition and kernel nearest neighbor convex hull classification algorithm [J]. Journal of Vibration Engineering, 2013, 26(1): 118-126. (Indexed by EI）

11   Yu Yang, Ming Zeng, Junsheng Cheng. Research on local characteristic-scale decomposition and its capacities [J]. Journal of Vibration Engineering, 2012, 25(5): 602-609. (Indexed by EI）

12   Yu Yang, Ming Zeng, Junsheng Cheng. Research on Local Characteristic-scale Decomposition and Its Stopping Criteria [J]. China Mechanical Engineering, 2013, 24(2): 195-201,208.

Concurrent Academic Posts:

Reviewer of Knowledge-Based System, Journal of Sound and Vibration, International Journal of Machine Learning and Cybernetics and other international journals