| Deep residual shrinkage networks for fault diagnosis M Zhao, S Zhong, X Fu, B Tang, M Pecht IEEE Transactions on Industrial Informatics 16 (7), 4681-4690, 2020 | 1126 | 2020 |
| Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes M Zhao, M Kang, B Tang, M Pecht IEEE Transactions on Industrial Electronics 65 (5), 4290-4300, 2018 | 403 | 2018 |
| Deep residual networks with adaptively parametric rectifier linear units for fault diagnosis M Zhao, S Zhong, X Fu, B Tang, S Dong, M Pecht IEEE Transactions on Industrial Electronics 68 (3), 2587-2597, 2020 | 192 | 2020 |
| Multiple wavelet coefficients fusion in deep residual networks for fault diagnosis M Zhao, M Kang, B Tang, M Pecht IEEE Transactions on Industrial Electronics 66 (6), 4696-4706, 2019 | 170 | 2019 |
| Bearing remaining useful life estimation based on time–frequency representation and supervised dimensionality reduction M Zhao, B Tang, Q Tan Measurement 86, 41-55, 2016 | 119 | 2016 |
| Self-attention ConvLSTM and its application in RUL prediction of rolling bearings B Li, B Tang, L Deng, M Zhao IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 103 | 2021 |
| Deep residual LSTM with domain-invariance for remaining useful life prediction across domains S Fu, Y Zhang, L Lin, M Zhao, S Zhong Reliability Engineering & System Safety 216, 108012, 2021 | 92 | 2021 |
| DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects Y Zhang, H Zhang, Q Huang, Y Han, M Zhao Expert Systems with Applications 241, 122669, 2024 | 81 | 2024 |
| Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks M Zhao, X Fu, Y Zhang, L Meng, B Tang Advanced Engineering Informatics 51, 101535, 2022 | 69 | 2022 |
| A novel time-series memory auto-encoder with sequentially updated reconstructions for remaining useful life prediction S Fu, S Zhong, L Lin, M Zhao IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7114-7125, 2021 | 66 | 2021 |
| Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network D Liu, S Zhong, L Lin, M Zhao, X Fu, X Liu Advanced Engineering Informatics 54, 101725, 2022 | 64 | 2022 |
| A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection S Fu, S Zhong, L Lin, M Zhao Engineering Applications of Artificial Intelligence 101, 104199, 2021 | 54 | 2021 |
| Multiple wavelet regularized deep residual networks for fault diagnosis M Zhao, B Tang, L Deng, M Pecht Measurement 152, 107331, 2020 | 43 | 2020 |
| A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings T Zuo, K Zhang, Q Zheng, X Li, Z Li, G Ding, M Zhao Reliability Engineering & System Safety 237, 109337, 2023 | 42 | 2023 |
| Multi-block domain adaptation with central moment discrepancy for fault diagnosis P Xiong, B Tang, L Deng, M Zhao, X Yu Measurement 169, 108516, 2021 | 40 | 2021 |
| Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps L Meng, M Zhao, Z Cui, X Zhang, S Zhong Computers in Industry 134, 103557, 2022 | 39 | 2022 |
| Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network X Zhou, X Fu, M Zhao, S Zhong Chinese Journal of Aeronautics, 2020 | 37 | 2020 |
| Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps M Zhao, X Fu, Y Zhang, L Meng, S Zhong IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2021 | 36 | 2021 |
| MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction S Fu, L Lin, Y Wang, F Guo, M Zhao, B Zhong, S Zhong Reliability Engineering & System Safety 241, 109696, 2024 | 34 | 2024 |
| Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines D Liu, S Zhong, L Lin, M Zhao, X Fu, X Liu Computers in Industry 151, 103972, 2023 | 33 | 2023 |
Michael G. PechtUniversity of MarylandVerified email at umd.edu
