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 | 121 | 2015 |
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 | 57 | 2021 |
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 | 52 | 2019 |
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 | 49 | 2018 |
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 | 48 | 2020 |
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 | 45 | 2014 |
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 | 44 | 2018 |
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 | 34 | 2021 |
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 | 32 | 2018 |
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 | 28 | 2020 |
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 | 24 | 2017 |
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 | 21 | 2018 |
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 | 21 | 2018 |
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 | 17 | 2018 |
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 | 16 | 2022 |
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 | 16 | 2015 |
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 | 16 | 2014 |
A fractal model of acoustic emission signals in sliding friction Q Hao, Y Shen, Y Wang, X Zhang Tribology Letters 67, 1-10, 2019 | 14 | 2019 |
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 | 12 | 2013 |
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 | 10 | 2022 |