| A review of wire rope detection methods, sensors and signal processing techniques S Liu, Y Sun, X Jiang, Y Kang Journal of Nondestructive Evaluation 39 (4), 85, 2020 | 71 | 2020 |
| A new signal processing method based on notch filtering and wavelet denoising in wire rope inspection S Liu, Y Sun, W Ma, F Xie, X Jiang, L He, Y Kang Journal of Nondestructive Evaluation 38, 1-14, 2019 | 39 | 2019 |
| Comparison and analysis of multiple signal processing methods in steel wire rope defect detection by hall sensor S Liu, Y Sun, X Jiang, Y Kang Measurement 171, 108768, 2021 | 34 | 2021 |
| A methodology for identifying defects in the magnetic flux leakage method and suggestions for standard specimens Y Sun, B Feng, S Liu, Z Ye, S Chen, Y Kang Journal of Nondestructive Evaluation 34, 1-9, 2015 | 32 | 2015 |
| Review and analysis of three representative electromagnetic NDT methods S Liu, Y Sun, M Gu, C Liu, L He, Y Kang Insight-Non-Destructive Testing and Condition Monitoring 59 (4), 176-183, 2017 | 31 | 2017 |
| Magnetic flux leakage structural health monitoring of concrete rebar using an open electromagnetic excitation technique Y Sun, S Liu, Z Deng, R Tang, W Ma, X Tian, Y Kang, L He Structural Health Monitoring 17 (2), 121-134, 2018 | 27 | 2018 |
| A novel E-exponential stochastic resonance model and weak signal detection method for steel wire rope S Liu, Y Sun, Y Kang IEEE Transactions on Industrial Electronics 69 (7), 7428-7440, 2021 | 25 | 2021 |
| A defect evaluation methodology based on multiple magnetic flux leakage (MFL) testing signal eigenvalues Y Sun, S Liu, Z Ye, S Chen, Q Zhou Research in Nondestructive Evaluation 27 (1), 1-25, 2016 | 25 | 2016 |
| A new magnetic flux leakage sensor based on open magnetizing method and its on-line automated structural health monitoring methodology Y Sun, S Liu, R Li, Z Ye, Y Kang, S Chen Structural Health Monitoring 14 (6), 583-603, 2015 | 25 | 2015 |
| A new MFL imaging and quantitative nondestructive evaluation method in wire rope defect detection S Liu, Y Sun, X Jiang, Y Kang Mechanical Systems and Signal Processing 163, 108156, 2022 | 19 | 2022 |
| Wire rope defect recognition method based on MFL signal analysis and 1D-CNNs S Liu, M Chen Sensors 23 (7), 3366, 2023 | 15 | 2023 |
| A new detection sensor for wire rope based on open magnetization method Y Sun, S Liu, L He, Y Kang Materials Evaluation 75 (4), 501-509, 2017 | 12 | 2017 |
| Quantitative MFL characterization study in hard magnetic material surface topography measurement S Liu, Y Sun, L He, X Jiang, Y Kang Measurement 135, 503-519, 2019 | 11 | 2019 |
| Magnetic focusing method and sensor in surface topography testing for ferromagnetic materials S Liu, Y Sun, L He, Y Kang Sensors and Actuators A: Physical 285, 531-542, 2019 | 9 | 2019 |
| Weak signal processing methods based on improved hht and filtering techniques for steel wire rope S Liu, Y Sun, L He, Y Kang Applied Sciences 12 (14), 6969, 2022 | 8 | 2022 |
| A novel method of omnidirectional defects detection by MFL testing under single axial magnetization at the production stage of lathy ferromagnetic materials S Liu, Y Sun, Z Deng, L He, M Gu, C Liu, Y Kang Sensors and Actuators A: Physical 262, 35-45, 2017 | 8 | 2017 |
| New discoveries on electromagnetic action and signal presentation in magnetic flux leakage testing Y Sun, S Liu, Z Deng, M Gu, C Liu, L He, Y Kang Journal of Nondestructive Evaluation 38 (4), 93, 2019 | 7 | 2019 |
| A novel electromagnetic testing method based on the magnetic field interaction Y Sun, S Liu, X Jiang, L He, M Gu, C Liu, Y Kang, X Luo, J Xu IEEE Transactions on Magnetics 55 (8), 1-12, 2019 | 6 | 2019 |
| Accurate wire rope defect MFL detection using improved Hilbert transform and LSTM neural network S Liu, X Hua, Y Liu, L Shan, D Wang, Q Wang, Y Sun Nondestructive Testing and Evaluation, 1-30, 2024 | 4 | 2024 |
| Non-destructive detection of physical and chemical indicators of salted duck eggs during salting using near-infrared spectroscopy. W Tian, Q Wang, B Xu, Y Chen, S Xiao, W Fan, W Lin, S Liu | 3 | 2023 |
Yanhua SunHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
