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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
512022
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
382022
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
292020
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
282020
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
262020
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
122023
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
82020
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
52023
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
12018
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