| Prognostics and Health Management: A Review of Vibration based Bearing and Gear Health Indicators D Wang, KL Tsui, Q Miao IEEE Access 6, 665-676, 2018 | 445 | 2018 |
| An enhanced Kurtogram method for fault diagnosis of rolling element bearings D Wang, PW Tse, KL Tsui Mechanical Systems and Signal Processing 35 (1-2), 176–199, 2013 | 444 | 2013 |
| Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model D Wang, Q Miao, M Pecht Journal of Power Sources 239 (1), 253–264, 2013 | 378 | 2013 |
| A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries F Yang, D Wang, Y Zhao, KL Tsui, S Bae Energy 145, 486-495, 2018 | 294 | 2018 |
| Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier C Shen, D Wang, F Kong, PW Tse Measurement 46 (4), 1551-1564, 2013 | 275 | 2013 |
| Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery Y Qi, C Shen, D Wang, J Shi, X Jiang, Z Zhu IEEE Access, 2017 | 253 | 2017 |
| Remaining useful life prediction of lithium-ion batteries based on spherical cubature particle filter D Wang, F Yang, KL Tsui, Q Zhou, SJ Bae IEEE Transactions on Instrumentation and Measurement 65 (6), 1282 - 1291, 2016 | 251 | 2016 |
| Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings D Wang, Y Zhao, C Yi, KL Tsui, JH Lin Mechanical Systems and Signal Processing 101, 292-308, 2018 | 244 | 2018 |
| Multi-scale Deep Intra-class Transfer Learning for Bearing Fault Diagnosis X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu Reliability Engineering and System Safety, 2020 | 233 | 2020 |
| Combined CNN-LSTM network for state-of-charge estimation of lithium-ion batteries X Song, F Yang, D Wang, KL Tsui IEEE Access 7, 88894 - 88902, 2017 | 233 | 2017 |
| The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as "Two automatic vibration-based fault … PW Tse, D Wang Mechanical Systems and Signal Processing 40 (2), 499–519, 2013 | 232 | 2013 |
| A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile F Yang, YX Xing, D Wang, KL Tsui Applied Energy 164, 387–399, 2016 | 214 | 2016 |
| Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients D Wang Mechanical Systems and Signal Processing 108, 360–368, 2018 | 196 | 2018 |
| K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: revisited D Wang Mechanical Systems and Signal Processing 70, 201-208, 2016 | 183 | 2016 |
| Robust health evaluation of gearbox subject to tooth failure with wavelet decomposition D Wang, Q Miao, R Kang Journal of Sound and Vibration 324 (3-5), 1141-1157, 2009 | 151 | 2009 |
| The Sum of Weighted Normalized Square Envelope: A Unified Framework for Kurtosis, Negative Entropy, Gini Index and Smoothness Index for Machine Health Monitoring D Wang, Z Peng, L Xi Mechanical Systems and Signal Processing 140, 106725, 2020 | 146 | 2020 |
| Lifespan Prediction of Lithium-ion Batteries based on Various Extracted Features and Gradient Boosting Regression Tree Model F Yang, D Wang, F Xu, ZL Huang, KL Tsui Journal of Power Sources, 2020 | 145 | 2020 |
| Spectral L2/L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals D Wang Mechanical Systems and Signal Processing 104, 290-293, 2018 | 137 | 2018 |
| Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation C Huang, Z Wang, Z Zhao, L Wang, CSL Lai, D Wang IEEE Access 6, 27617 - 27628, 2015 | 130 | 2015 |
| A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis D Wang, X Zhao, LL Kou, Y Qin, Y Zhao, KL Tsui Mechanical Systems and Signal Processing 122, 754-768, 2019 | 129 | 2019 |
Changqing Shen / 沈长青Professor, Soochow University / 苏州大学在 suda.edu.cn 的电子邮件经过验证
