Title: Associate Professor
Office: Administrative Center Room 263
Email: bingli@stu.edu.cn
Biography
Dr. Li Bing obtained his Ph.D. degree from Ordnance Engineering College of PLA in 2010. His doctoral dissertation was nominated for the National Excellent Doctoral Dissertation Award in 2013, and won both Excellent Doctoral Dissertation Award of Hebei Province and the university-level Excellent Doctoral Dissertation Award in 2012. He has been awarded the Individual Third-Class Merit three times.
His research focuses on signal processing and machine learning. As the first author, he has published 44 academic papers, including 15 SCI-indexed papers and 20 EI-indexed papers (non-overlapping with SCI publications). He has authored 5 academic monographs. He has presided over 1 National Natural Science Foundation project and 2 National Key Laboratory Foundation projects, and participated in 11 other scientific research projects. He serves as a peer review expert for the National Natural Science Foundation of China, and a reviewer for more than 20 domestic and international SCI/EI journals.
Educational Background
Sep. 1999 – Jun. 2003: Bachelor of Engineering, Mechanical Engineering and Automation, Ordnance Engineering College of PLA
Jun. 2003 – Mar. 2006: Master of Engineering, Vehicle Engineering, Ordnance Engineering College of PLA
Apr. 2006 – Dec. 2010: Doctor of Engineering, Automatic Guns, Weapons and Ammunition Engineering, Ordnance Engineering College of PLA
Working Experience
Jan. 2011 – Dec. 2014: Lecturer, Ordnance Engineering College of PLA
Jan. 2015 – Jun. 2017: Associate Professor, Ordnance Engineering College of PLA
Jul. 2017 – Dec. 2018: Associate Professor, Army Engineering University of PLA
May 2019 – Present: Associate Professor, Department of Electronic Engineering, College of Engineering, Shantou University
Research Projects in Recent Five Years
Young Scientists Fund of National Natural Science Foundation of China: Mathematical Morphology Analysis and Intelligent Classification Methods for Early Fault Signals of Gearboxes, No. 51205405, Fund: 240,000 RMB, 2013–2015, Principal Investigator
National Key Laboratory Foundation Project: Fractal Analysis of Electromagnetic Environment Signals, Fund: 130,000 RMB, 2015–2016, Principal Investigator
Scientific Research Startup Fund of Shantou University: Mathematical Morphology Intelligent Computing and Its Applications, No. NTF19016, Fund: 600,000 RMB, 2019–2022, Principal Investigator
Representative Publications in Recent Five Years
Bing Li, Shuangshan Mi, Pengyuan Liu, Zhengjun Wang. Classification of time-frequency representations using improved morphological pattern spectrum for engine fault diagnosis. Journal of Sound and Vibration, 2013, 332(13): 3329–3337. (SCI)
Bing Li, Peilin Zhang, Shuangshan Mi, Renxi Hu, Pengyuan Liu. Applying the fuzzy lattice neurocomputing (FLN) classifier model for gear fault diagnosis. Neural Computing & Applications, 2013, 22(3-4): 627–636. (SCI)
Bing Li, Peilin Zhang, Qiong Mao, Shuangshan Mi, Pengyuan Liu. Gear fault detection using adaptive morphological gradient lifting wavelet. Journal of Vibration and Control, 2013, 19(11): 1646–1657. (SCI)
Bing Li, Peilin Zhang, Shuangshan Mi, Pengyuan Liu, Zhengjun Wang. Engine fault diagnosis based on morphological neural network using morphological filter as a preprocessor. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2013, 227(4): 490–505. (SCI)
Bing Li, Peilin Zhang, Zhengjun Wang, Shuangshan Mi, Pengyuan Liu. Morphological covering based generalized dimension for gear fault diagnosis. Nonlinear Dynamics, 2012, 67(1): 2561–2571. (SCI)
Bing Li, Peilin Zhang, Shuangshan Mi, Renxi Hu, Dongsheng Liu. An adaptive morphological gradient lifting wavelet for detecting bearing defects. Mechanical Systems and Signal Processing, 2012, 29(5): 415–427. (SCI)
Bing Li, Peilin Zhang, Renxi Hu, Shuangshan Mi, Pengyuan Liu. Fuzzy lattice classifier and its application to bearing fault diagnosis. Applied Soft Computing, 2012, 12(6): 1708–1719. (SCI)
Bing Li, Peilin Zhang, Hao Tian, Shuangshan Mi. A new feature extraction and selection scheme for hybrid fault diagnosis of gearbox. Expert Systems with Applications, 2011, 38(8): 10000–10009. (SCI)
Bing Li, Peilin Zhang, Shuangshan Mi, Yingtang Zhang, Dongsheng Liu. Multi-scale fractal dimension based on morphological covering for gear fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2011, 225(9): 2242–2249. (SCI)
Bing Li, Peilin Zhang, Dongsheng Liu, Shuangshan Mi, Pengyuan Liu. Classification of time-frequency representations based on two-direction 2DLDA for gear fault diagnosis. Applied Soft Computing, 2011, 11(8): 5299–5305. (SCI)
Bing Li, Peilin Zhang, Dongsheng Liu, Shuangshan Mi, Pengyuan Liu. Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization. Journal of Sound and Vibration, 2011, 330(10): 2388–2399. (SCI)
Bing Li, Peilin Zhang, Shubao Liang, Yingtang Zhang, Hongbo Fan. Feature extraction for engine fault diagnosis utilizing the generalized S-transform and non-negative tensor factorization. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2011, 225(8): 1936–1949. (SCI)
Bing Li, Peilin Zhang, Zhengjun Wang, Shuangshan Mi, Dongsheng Liu. A weighted multi-scale morphological gradient filter for rolling element bearing fault detection. ISA Transactions, 2011, 50(4): 599–608. (SCI)
Bing Li, Peilin Zhang, Zhengjun Wang, Shuangshan Mi. Gear fault detection using multi-scale morphological filters. Measurement, 2011, 44(10): 2078–2089. (SCI)
Bing Li, Peilin Zhang, Shuangshan Mi, Dongsheng Liu. Application of S transform and morphological pattern spectrum for gear fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2011, 225(12): 2963–2972. (SCI)
Li B, Zhang PL, Ren GQ, Liu DS, Mi SS. Gear fault feature extraction and selection using EMD and GA-SVM. Journal of Vibration, Measurement & Diagnosis, 2009, 29(4): 445–449. (EI)
Li B, Zhang PL, Liu DS, Ren GQ, Mi SS. Gear fault feature extraction based on morphological gradient demodulation operator. Journal of Vibration, Measurement & Diagnosis, 2010, 30(1): 29–34. (EI)
Li B, Zhang PL, Ren GQ, Liu DS, Mi SS. Morphology-based fractal dimension calculation and its application in bearing fault diagnosis. Journal of Vibration and Shock, 2010, 29(5): 191–194. (EI)
Li B, Zhang PL, Ren GQ, Liu DS, Mi SS. Rolling bearing fault feature extraction based on morphological lifting wavelet transform. Journal of Vibration, Measurement & Diagnosis, 2011, 31(1): 36–40. (EI)
Li B, Zhang PL, Mi SS, Liu DS, Ren GQ. Morphological calculation method for multifractal dimension of gear fault signals. Journal of Vibration, Measurement & Diagnosis, 2011, 31(4): 450–453. (EI)
Li B, Zhang PL, Liu DS, Mi SS, Ren GQ. Rolling bearing fault feature extraction based on adaptive multi-scale morphological gradient transform. Journal of Vibration and Shock, 2011, 30(10): 104–108. (EI)
Li B, Zhang PL, Mi SS, Liu DS, Ren GQ. Application of morphological generalized fractal dimension in engine fault diagnosis. Journal of Vibration and Shock, 2011, 30(10): 208–211. (EI)
Li B, Zhang PL, Mi SS, Liu DS, Ren GQ. Application of 2D non-negative matrix factorization in gear fault diagnosis. Journal of Vibration, Measurement & Diagnosis, 2012, 32(5): 836–840. (EI)
Li B, Dong J, Liu PY, Mi SS. Fuzzy lattice morphological neural network. Acta Electronica Sinica, 2014(2): 319–327. (EI)
Li B, Gao M, Zhang XG, Jia CN. Gear fault diagnosis using morphological gradient method and non-negative matrix factorization. Journal of Vibration, Measurement & Diagnosis, 2014(2): 295–300+398. (EI)
Li B, Xu R, Jia CN, Guo QC. Engine fault diagnosis method based on adaptive morphological lifting wavelet and improved non-negative matrix factorization. Acta Armamentarii, 2013(3): 353–360. (EI)
