Cheng Hang

Ph.D Student Nanjing University of Aeronautics and Astronautics

hangcheng@nuaa.edu.cn

About

Education

• Doctor of Engineering in Testing and Measuring Technology and Instruments Nanjing University of Aeronautics and Astronautics, China 2019.04 － Nowadays

• Master of Engineering in Instrumentation Engineering Nanjing University of Aeronautics and Astronautics, China 2016.09 － 2019.04

Publications

The research includes Barkhausen noise, Electromagnetic nondestructive testing, signal processing and machine learning.

1. Cheng Hang, Wenbo Liu, Gerd Dobmann, Wangcai Chen, Ping Wang, and Kaiyu Li. “Feature Extraction and Evaluation for Quantitative Prediction of Hardness in Bearing Steel Based on Magnetic Barkhausen Noise.” NDT & E International, 2023.
2. Cheng Hang, Wenbo Liu, Gerd Dobmann, Wangcai Chen, Ping Wang, and Kaiyu Li. “Abnormal Signals Elimination in Hardness Evaluation Using Barkhausen Noise and Tangential Magnetic Field.” Journal of Nondestructive Evaluation, 2023.
3. Cheng Hang, Wenbo Liu, and Ping Wang. “A Method of Barkhausen Noise Feature Extraction Based on an Adaptive Threshold.” Applied Sciences, 2019.
4. Cheng Hang, Wenbo Liu, and Wangcai Chen. “New Magnetic Barkhausen Noise Feature Extraction for Stress Detection with Slow Feature Analysis.” Insight, 2019.
5. Lin, Yi, Wenbo Liu, and Cheng Hang. “Revelation and Experimental Verification of Quasi-Periodic Bursting, Periodic Bursting, Periodic Oscillation in Third-Order Non-Autonomous Memristive FitzHugh-Nagumo Neuron Circuit.” Chaos, Solitons & Fractals, 2023.
6. Chen, Wangcai, Wenbo Liu, and Cheng Hang. “Rail Crack Recognition Based on Adaptive Weighting Multi-Classifier Fusion Decision.” Measurement, 2018.
7. Zhang, Yanyan, Wenbo Liu, Kaiyu Li, Ping Wang, Cheng Hang. “Application of a Back-Propagation Neural Network for Mechanical Properties Prediction of Ferromagnetic Materials by Magnetic Barkhausen Noise Technique”. Insight, 2019.