| 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, 2021 | 76 | 2021 |
| Investigations on Quasi-arithmetic Means for Machine Condition Monitoring B Hou, D Wang, T Xia, Y Wang, Y Zhao, KL Tsui Mechanical Systems and Signal Processing, 2021 | 53 | 2021 |
| A tacholess order tracking method for wind turbine planetary gearbox fault detection B Hou, Y Wang, B Tang, Y Qin, Y Chen, Y Chen Measurement 138, 266-277, 2019 | 49 | 2019 |
| Interpretable Online Updated Weights: Optimized Square Envelope Spectrum for Machine Condition Monitoring and Fault diagnosis B Hou, D Wang, Y Chen, H Wang, Z Peng, KL Tsui Mechanical systems and signal processing, 2022 | 42 | 2022 |
| Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring B Hou, D Wang, T Xia, L Xi, Z Peng, KL Tsui Mechanical Systems and Signal Processing, 2022 | 37 | 2022 |
| Understanding importance of positive and negative signs of optimized weights used in the sum of weighted normalized Fourier spectrum/envelope spectrum for machine condition … B Hou, D Wang, J Kong, J Liu, Z Peng, KL Tsui Mechanical Systems and Signal Processing, 2022 | 31 | 2022 |
| A Comparison of Machine Health Indicators based on the Impulsiveness of Vibration Signals B Hou, D Wang, T Yan, Z Peng Acoustics Australia, 2021 | 29 | 2021 |
| Difference Mode Decomposition for Adaptive Signal Decomposition B Hou, D Wang, T Xia, Z Peng, KL Tsui Mechanical Systems and Signal Processing, 2023 | 24 | 2023 |
| Adaptive estimation of instantaneous angular speed for wind turbine planetary gearbox fault detection YI Wang, B Tang, L Meng, B Hou IEEE Access 7, 49974-49984, 2019 | 23 | 2019 |
| 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, 2022 | 21 | 2022 |
| OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis B Hou, Y Chen, H Wang, Z Peng, K Tsui, D Wang IEEE Transactions on Instrumentation and Measurement, 2022 | 17 | 2022 |
| 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, 2023 | 16 | 2023 |
| 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 | 9 | 2021 |
| Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum based Index for Machinery Fault Diagnosis B Hou, D Wang, Z Peng, KL Tsui IEEE Transactions on Industrial Electronics, 2023 | 8 | 2023 |
| 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 | 8 | 2022 |
| Optimized Weights Spectrum Autocorrelation: A New and Promising Method for Fault Characteristic Frequency Identification for Rotating Machine Fault Diagnosis B Hou, X Feng, JZ Kong, Z Peng, KL Tsui, D Wang Mechanical Systems and Signal Processing, 2023 | 7 | 2023 |
| New short-long-term degradation model for precise battery health prognostics JZ Kong, D Cui, B Hou, X Liu, D Wang IEEE Transactions on Industrial Electronics 70 (9), 9527-9537, 2022 | 5 | 2022 |
| Weighted squared envelope diversity entropy as a nonlinear dynamic prognostic measure of rolling element bearing K Noman, B Hou, D Wang, Y Li, S Wang Nonlinear Dynamics, 2023 | 4 | 2023 |
| Gaussian assumptions-free interpretable linear discriminant analysis for locating informative frequency bands for machine condition monitoring Y Chen, D Wang, B Hou, T Xia Mechanical Systems and Signal Processing 199, 110492, 2023 | 3 | 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 | 3 | 2023 |
Dong WANGAssociate Professor, Shanghai Jiao Tong UniversityПодтвержден адрес электронной почты в домене sjtu.edu.cn
