| Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis Z Zhao, T Li, B An, S Wang, B Ding, R Yan, X Chen ISA transactions 129, 644-662, 2022 | 87 | 2022 |
| Interpretable neural network via algorithm unrolling for mechanical fault diagnosis B An, S Wang, Z Zhao, F Qin, R Yan, X Chen IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 63 | 2022 |
| Hierarchical hyper-Laplacian prior for weak fault feature enhancement Z Zhao, S Wang, B An, Y Guo, X Chen ISA transactions 96, 429-443, 2020 | 34 | 2020 |
| Sparsity-assisted bearing fault diagnosis using multiscale period group lasso B An, Z Zhao, S Wang, S Chen, X Chen ISA transactions 98, 338-348, 2020 | 33 | 2020 |
| Adversarial algorithm unrolling network for interpretable mechanical anomaly detection B An, S Wang, F Qin, Z Zhao, R Yan, X Chen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 30 | 2023 |
| Adaptive robust noise modeling of sparse representation for bearing fault diagnosis B An, S Wang, R Yan, W Li, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020 | 29 | 2020 |
| Instantaneous frequency band and synchrosqueezing in time-frequency analysis S Chen, S Wang, B An, R Yan, X Chen IEEE Transactions on Signal Processing 71, 539-554, 2023 | 13 | 2023 |
| Generalized Gaussian noise distribution enabled sparse representation model for bearing fault diagnosis B An, S Wang, R Yan, W Li, X Chen 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 8 | 2020 |
| Bearing fault diagnosis using hyper-laplacian priors and non-convex optimization Z Zhao, B An, S Wang, B Qiao, C Sun, X Chen 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 1 | 2018 |
Shibin WANG/王诗彬Xi'an Jiaotong UniversityGeverifieerd e-mailadres voor mail.xjtu.edu.cn