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Xin Zhang
Xin Zhang
在 hit.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Acoustic emission detection of rail defect based on wavelet transform and Shannon entropy
X Zhang, N Feng, Y Wang, Y Shen
Journal of Sound and Vibration 339, 419-432, 2015
1212015
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning
Y Chen, D Li, X Zhang, J Jin, Y Shen
Medical image analysis 67, 101819, 2021
572021
Application of improved least-square generative adversarial networks for rail crack detection by AE technique
K Wang, X Zhang, Q Hao, Y Wang, Y Shen
Neurocomputing 332, 236-248, 2019
522019
An improved AE detection method of rail defect based on multi-level ANC with VSS-LMS
X Zhang, Y Cui, Y Wang, M Sun, H Hu
Mechanical Systems and Signal Processing 99, 420-433, 2018
492018
Blind source extraction of acoustic emission signals for rail cracks based on ensemble empirical mode decomposition and constrained independent component analysis
K Wang, Q Hao, X Zhang, Z Tang, Y Wang, Y Shen
Measurement 157, 107653, 2020
482020
An analysis of the simulated acoustic emission sources with different propagation distances, types and depths for rail defect detection
X Zhang, N Feng, Y Wang, Y Shen
Applied Acoustics 86, 80-88, 2014
452014
A new rail crack detection method using LSTM network for actual application based on AE technology
X Zhang, Z Zou, K Wang, Q Hao, Y Wang, Y Shen, H Hu
Applied Acoustics 142, 78-86, 2018
442018
A parameter optimized variational mode decomposition method for rail crack detection based on acoustic emission technique
X Zhang, T Sun, Y Wang, K Wang, Y Shen
Nondestructive Testing and Evaluation 36 (4), 411-439, 2021
342021
A novel rail defect detection method based on undecimated lifting wavelet packet transform and Shannon entropy-improved adaptive line enhancer
Q Hao, X Zhang, Y Wang, Y Shen, V Makis
Journal of Sound and Vibration 425, 208-220, 2018
322018
Rail crack detection using acoustic emission technique by joint optimization noise clustering and time window feature detection
X Zhang, K Wang, Y Wang, Y Shen, H Hu
Applied Acoustics 160, 107141, 2020
282020
An improved method of rail health monitoring based on CNN and multiple acoustic emission events
X Zhang, K Wang, Y Wang, Y Shen, H Hu
2017 IEEE International Instrumentation and Measurement Technology …, 2017
242017
A signal-adapted wavelet design method for acoustic emission signals of rail cracks
Q Hao, X Zhang, K Wang, Y Shen, Y Wang
Applied Acoustics 139, 251-258, 2018
212018
Detection method based on Kalman filter for high speed rail defect AE signal on wheel-rail rolling rig
Q Hao, Y Shen, Y Wang, X Zhang
Nondestructive Testing and Evaluation 33 (1), 75-91, 2018
212018
An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method
X Zhang, Q Hao, K Wang, Y Wang, Y Shen, H Hu
Journal of Sound and Vibration 436, 165-182, 2018
172018
An improved reconstruction method based on auto-adjustable step size sparsity adaptive matching pursuit and adaptive modular dictionary update for acoustic emission signals of …
S Song, X Zhang, Q Hao, Y Wang, N Feng, Y Shen
Measurement 189, 110650, 2022
162022
An investigation on rail health monitoring using acoustic emission technique by tensile test
X Zhang, N Feng, Z Zou, Y Wang, Y Shen
2015 IEEE International Instrumentation and Measurement Technology …, 2015
162015
Feature selection and classification algorithm for non-destructive detecting of high-speed rail defects based on vibration signals
M Sun, Y Wang, X Zhang, Y Liu, Q Wei, Y Shen, N Feng
2014 IEEE International Instrumentation and Measurement Technology …, 2014
162014
A fractal model of acoustic emission signals in sliding friction
Q Hao, Y Shen, Y Wang, X Zhang
Tribology Letters 67, 1-10, 2019
142019
Rail defect detection based on vibration acceleration signals
Q Wei, X Zhang, Y Wang, N Feng, Y Shen
2013 IEEE International Instrumentation and Measurement Technology …, 2013
122013
An improved structural health monitoring method utilizing sparse representation for acoustic emission signals in rails
S Song, X Zhang, Y Chang, Y Shen
IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2022
102022
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