| Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions T Zhang, J Chen, F Li, K Zhang, H Lv, S He, E Xu ISA transactions 119, 152-171, 2022 | 359 | 2022 |
| Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis Y Feng, J Chen, T Zhang, S He, E Xu, Z Zhou ISA transactions 120, 383-401, 2022 | 142 | 2022 |
| A small sample focused intelligent fault diagnosis scheme of machines via multimodules learning with gradient penalized generative adversarial networks T Zhang, J Chen, F Li, T Pan, S He IEEE Transactions on Industrial Electronics 68 (10), 10130-10141, 2020 | 118 | 2020 |
| A compact convolutional neural network augmented with multiscale feature extraction of acquired monitoring data for mechanical intelligent fault diagnosis K Zhang, J Chen, T Zhang, Z Zhou Journal of Manufacturing Systems 55, 273-284, 2020 | 89 | 2020 |
| Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy K Zhang, J Chen, T Zhang, S He, T Pan, Z Zhou Journal of Manufacturing Systems 57, 400-415, 2020 | 58 | 2020 |
| SASLN: Signals augmented self-taught learning networks for mechanical fault diagnosis under small sample condition T Zhang, J Chen, J Xie, T Pan IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 41 | 2020 |
| SDA: Regularization with cut-flip and mix-normal for machinery fault diagnosis under small dataset H Lv, J Chen, T Zhang, R Hou, T Pan, Z Zhou ISA transactions 111, 337-349, 2021 | 22 | 2021 |
