| Adaptive weighted signal preprocessing technique for machine health monitoring B Hou, D Wang, Y Wang, T Yan, Z Peng, KL Tsui IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 83 | 2020 |
| Fisher’s discriminant ratio based health indicator for locating informative frequency bands for machine performance degradation assessment T Yan, D Wang, M Zheng, T Xia, E Pan, L Xi Mechanical Systems and Signal Processing 162, 108053, 2022 | 42 | 2022 |
| A generic framework for degradation modeling based on fusion of spectrum amplitudes T Yan, D Wang, T Xia, L Xi IEEE Transactions on Automation Science and Engineering 19 (1), 308-319, 2020 | 42 | 2020 |
| Accelerated stress factors based nonlinear Wiener process model for lithium-ion battery prognostics JZ Kong, D Wang, T Yan, J Zhu, X Zhang IEEE Transactions on Industrial Electronics 69 (11), 11665-11674, 2021 | 34 | 2021 |
| A comparison of machine health indicators based on the impulsiveness of vibration signals B Hou, D Wang, T Yan, Z Peng Acoustics Australia 49, 199-206, 2021 | 34 | 2021 |
| Gini indices II and III: Two new sparsity measures and their applications to machine condition monitoring B Hou, D Wang, T Yan, Y Wang, Z Peng, KL Tsui IEEE/ASME Transactions on Mechatronics 27 (3), 1211-1222, 2021 | 26 | 2021 |
| New statistical learning perspective for design of a physically interpretable prototypical neural network for machine condition monitoring D Wang, B Hou, T Yan, C Shen, Z Peng Mechanical Systems and Signal Processing 188, 110041, 2023 | 25 | 2023 |
| Integration of a novel knowledge-guided loss function with an architecturally explainable network for machine degradation modeling T Yan, Y Fu, M Lu, Z Li, C Shen, D Wang IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 14 | 2022 |
| Definition of signal-to-noise ratio of health indicators and its analytic optimization for machine performance degradation assessment T Yan, D Wang, JZ Kong, T Xia, Z Peng, L Xi IEEE Transactions on Instrumentation and Measurement 70, 1-16, 2021 | 14 | 2021 |
| Generic framework for integration of first prediction time detection with machine degradation modelling from frequency domain T Yan, D Wang, B Hou, Z Peng IEEE Transactions on Reliability 71 (4), 1464-1476, 2021 | 13 | 2021 |
| Investigations on the sensitivity of sparsity measures to the sparsity of impulsive signals D Wang, J Liu, S Sun, C Shen, B Hou, T Yan, Z Peng Mechanical Systems and Signal Processing 178, 109315, 2022 | 12 | 2022 |
| Investigation on optimal discriminant directions of linear discriminant analysis for locating informative frequency bands for machine health monitoring T Yan, D Wang, T Xia, J Liu, Z Peng, L Xi Mechanical Systems and Signal Processing 180, 109424, 2022 | 11 | 2022 |
| Novel sparse representation degradation modeling for locating informative frequency bands for machine performance degradation assessment T Yan, D Wang, S Sun, C Shen, Z Peng Mechanical Systems and Signal Processing 179, 109372, 2022 | 10 | 2022 |
| Investigations on generalized Hjorth's parameters for machine performance degradation assessment T Yan, D Wang, T Xia, Z Peng, L Xi Mechanical Systems and Signal Processing 168, 108720, 2022 | 10 | 2022 |
| Online piecewise convex-optimization interpretable weight learning for machine life cycle performance assessment T Yan, D Wang, T Xia, E Pan, Z Peng, L Xi IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| Entropy-maximization oriented interpretable health indicators for locating informative fault frequencies for machine health monitoring T Yan, D Wang, T Xia, M Zheng, Z Peng, L Xi Mechanical Systems and Signal Processing 198, 110461, 2023 | 8 | 2023 |
| Interpretable sparse learned weights and their entropy based quantification for online machine health monitoring T Yan, D Wang, M Zheng, C Shen, T Xia, Z Peng Mechanical Systems and Signal Processing 199, 110493, 2023 | 6 | 2023 |
| Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library X Feng, D Wang, B Hou, T Yan Engineering Applications of Artificial Intelligence 124, 106632, 2023 | 6 | 2023 |
| Discrimination and Sparsity Driven Weight-oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis T Yan, D Wang, Y Wang IEEE Transactions on Instrumentation and Measurement, 2023 | 5 | 2023 |
| New shapeness property and its convex optimization model for interpretable machine degradation modeling T Yan, D Wang, T Xia, E Pan, Z Peng, L Xi IEEE Transactions on Reliability 72 (2), 703-715, 2022 | 4 | 2022 |
Dong WANGAssociate Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
