Name: Li Ning
Gender：Female
Degree：Phd
Title：Professor
Personal Profile
PHD. degree from Harbin Institute of Technology in 2010, has long been engaged in the research of machinery and equipment fault diagnosis and signal processing, and has rich experience and solid professional foundation in the field of scientific research, and has achieved certain research results in the detection of weak fault signals, automatic identification of equipment failure modes, as well as hybrid intelligent systems, and so on. He has presided over and participated in two National Natural Science Foundation of China (NSFC) projects, one innovative project of Shanghai Municipal Commission of Education, one project of Shanghai Higher Education Young Teachers Cultivation Funding Program, and a number of transverse projects, and he has published many articles in domestic and international academic journals (Measurement Science and Technology, MechanicalSystems and He has published more than 20 papers in domestic and international academic journals (Measurement Science and Technology, MechanicalSystems and Signal Processing, Journal of Mechanical Engineering, Journal of Internal Combustion Engines, etc.) and conferences, of which 6 are SCI-retrieved and 19 are EI-retrieved. He is responsible for teaching undergraduate courses such as Principles of Mechanics, Mechanical Manufacturing Technology, and Advanced Manufacturing Technology.
Major papers, patents and publications
Papers：
1.Ning Li, Rui Zhou, Qinghua Hu, XiaohangLiu. Mechanical fault diagnosis based on redundant second generation waveletpacket transform, neighborhood rough set and support vector machine. MechanicalSystems and Signal Processing. 2012,28:608~621
2.Ning Li, Jianguo Yang, Rui Zhou,Qingsheng Wang. Knock detection in spark ignition engines using a nonlinearwavelet transform of the engine cylinder head vibration signal. MeasurementScience and Technology. 2014,10,115002
3. Li Ning, Yang Jianguo., Zhou Rui. Gasoline Engine Burst Feature Extraction Based on Ensemble Empirical Pattern Decomposition. Journal of Mechanical Engineering. 2015.1,51(2): 148~154
4.Ning Li, Jianguo Yang, Rui Zhou, CaipingLiang. Determination of knock characteristics in spark ignition engines: Anapproach based on ensemble empirical mode decomposition. Measurement Scienceand Technology, 2016, 27(4), 045109
5. Li Ning, Zhou Rui. Recognition of burst intensity of gasoline engine based on nonlinear wavelet transform. Journal of Internal Combustion Engine. 2018, 36(1):83-89
6.Ning Li, Chilan Cai, Caiping Lian. Knock IntensityDiagnosis by Vibration Analysis Using Ensemble Empirical Mode Decomposition.The 23rd International Congress on Sound and Vibration,
Major scientific research projects
1. National Natural Science Foundation of China (NSFC) Youth Fund Project, Research on Detection and Diagnosis of Gasoline Engine Bursting Edge Based on Vibration Signal
2.Innovative Research Project of Shanghai Municipal Education Commission, Research on Gasoline Engine Vibration Fault Diagnosis Based on Adaptive Signal Processing and Neighborhood Granularization.
3. Research on internal combustion engine fault diagnosis technology based on time-frequency image and independent component analysis, Shanghai Municipal Higher Education Young Teachers Cultivation Funding Program.
Honors
1. Honored with the 2021 Shanghai Yucai Award;
2.Received the honorary title of Outstanding Young Teacher of Shanghai Polytechnic University at school level in 2018;
3. Awarded the Special Prize of Professional Design and the First Prize of Professional and Curriculum Design Team in the Second Teaching Competition of Teachers of Shanghai Applied Undergraduate Colleges and Universities in 2015.
Office Location：
Building 29 room 927
Contact information：
lining@sspu.edu.cn