| An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data | 1 | 0.35 | 2022 |
| A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis | 0 | 0.34 | 2022 |
| Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis | 0 | 0.34 | 2022 |
| A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data | 0 | 0.34 | 2022 |
| A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis | 0 | 0.34 | 2022 |
| A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains | 0 | 0.34 | 2022 |
| Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis | 2 | 0.39 | 2021 |
| Rolling bearing fault diagnosis using optimal ensemble deep transfer network | 3 | 0.47 | 2021 |
| A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data | 1 | 0.36 | 2020 |
| Rolling bearing fault detection using continuous deep belief network with locally linear embedding. | 5 | 0.43 | 2018 |
| Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine. | 11 | 0.60 | 2018 |
| An enhancement deep feature fusion method for rotating machinery fault diagnosis. | 20 | 0.78 | 2017 |
