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Cheng Hang
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年份
Rail crack recognition based on adaptive weighting multi-classifier fusion decision
W Chen, W Liu, K Li, P Wang, H Zhu, Y Zhang, C Hang
Measurement 123, 102-114, 2018
532018
Application of a back-propagation neural network for mechanical properties prediction of ferromagnetic materials by magnetic Barkhausen noise technique
Y Zhang, W Liu, K Li, P Wang, C Hang, Y Chen, X Han, W Gao
Insight-Non-Destructive Testing and Condition Monitoring 61 (2), 95-99, 2019
82019
Revelation and experimental verification of quasi-periodic bursting, periodic bursting, periodic oscillation in third-order non-autonomous memristive FitzHugh-Nagumo neuron circuit
Y Lin, W Liu, C Hang
Chaos, Solitons & Fractals 167, 113006, 2023
62023
A Method of Barkhausen Noise feature extraction based on an adaptive threshold
C Hang, W Liu, P Wang
Applied Sciences 9 (15), 2964, 2019
62019
Feature extraction and evaluation for quantitative prediction of hardness in bearing steel based on magnetic Barkhausen noise
C Hang, W Liu, G Dobmann, W Chen, P Wang, K Li
NDT & E International 139, 102937, 2023
52023
Radar hrrp target recognition based ON stacked frame maximum likelihood profile-trajectory similarity autoencoders
W Liu, G Zhang, W Chen, C Hang
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
52019
Abnormal signals elimination in hardness evaluation using Barkhausen noise and tangential magnetic field
C Hang, W Liu, G Dobmann, W Chen, L Li, P Wang, Y Lin, H Zhu, K Li
Journal of Nondestructive Evaluation 42 (1), 15, 2023
22023
New magnetic Barkhausen noise feature extraction for stress detection with slow feature analysis
C Hang, W Liu, W Chen
Insight-Non-Destructive Testing and Condition Monitoring 61 (7), 395-403, 2019
12019
Parameter estimation method of yield strength for ferromagnetic materials based on Pulsed Eddy Current
K Li, W Gao, P Wang, Y Zhang, C Hang
IOP Conference Series: Materials Science and Engineering 452 (2), 022070, 2018
12018
Ising Model Simulation and Empirical Research of Barkhausen Noise
C Hang, W Liu, G Dobmann, Y Wu, W Chen, P Wang
Journal of Nondestructive Evaluation 43 (1), 20, 2024
2024
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