| Fault diagnosis for wind turbine gearboxes by using deep enhanced fusion network Z Pu, C Li, S Zhang, Y Bai IEEE Transactions on Instrumentation and Measurement, 2020 | 34 | 2020 |
| A one-class generative adversarial detection framework for multifunctional fault diagnoses Z Pu, D Cabrera, Y Bai, C Li IEEE transactions on industrial electronics 69 (8), 8411-8419, 2021 | 28 | 2021 |
| Improved adversarial learning for fault feature generation of wind turbine gearbox Z Guo, Z Pu, W Du, H Wang, C Li Renewable Energy 185, 255-266, 2022 | 24 | 2022 |
| Exploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator Z Pu, D Cabrera, RV Sánchez, M Cerrada, C Li, J Valente de Oliveira Applied Sciences 10 (21), 7712, 2020 | 15 | 2020 |
| From anomaly detection to novel fault discrimination for wind turbine gearboxes with a sparse isolation encoding forest W Du, Z Guo, C Li, X Gong, Z Pu IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 8 | 2022 |
| Generative adversarial one-shot diagnosis of transmission faults for industrial robots Z Pu, D Cabrera, Y Bai, C Li Robotics and Computer-Integrated Manufacturing 83, 102577, 2023 | 5 | 2023 |
| VGAN: Generalizing MSE GAN and WGAN-GP for robot fault diagnosis Z Pu, D Cabrera, C Li, JV de Oliveira IEEE intelligent systems 37 (3), 65-75, 2022 | 5 | 2022 |
| Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot Z Pu, D Cabrera, C Li, JV de Oliveira Expert Systems with Applications 222, 119754, 2023 | 3 | 2023 |
| Bearing Fault Diagnosis Based on Diffusion Model and One-Class Support Vector Machine L Yan, Z Pu, Z Yang, C Li 2023 Prognostics and Health Management Conference (PHM), 307-311, 2023 | 3 | 2023 |
| Efficient channel attention residual learning for the time-series fault diagnosis of wind turbine gearboxes W Du, Z Guo, X Gong, Z Pu, C Li Measurement Science and Technology 35 (1), 015118, 2023 | 1 | 2023 |
| A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images Z Pu, L Koutti, L Masmoudi, JV de Oliveira Neurocomputing 577, 127346, 2024 | | 2024 |
| On the Effect of Loss Function in GAN Based Data Augmentation for Fault Diagnosis of an Industrial Robot Z Pu, C Li, JV de Oliveira Applications of Generative AI, 309-349, 2024 | | 2024 |
| Data augmentation on fault diagnosis of wind turbine gearboxes with an enhanced flow-based generative model W Du, P Zhu, Z Pu, X Gong, C Li Measurement 225, 113985, 2024 | | 2024 |
| Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery (PHM2021) S Yang, X Chen, Y Bai, Z Pu | | 2022 |
