| A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis Q Qian, Y Qin, Y Wang, F Liu Measurement 178, 109352, 2021 | 125 | 2021 |
| Deep discriminative transfer learning network for cross-machine fault diagnosis Q Qian, Y Qin, J Luo, Y Wang, F Wu Mechanical Systems and Signal Processing 186, 109884, 2023 | 100 | 2023 |
| Remaining useful life prediction of bearings by a new reinforced memory GRU network J Zhou, Y Qin, D Chen, F Liu, Q Qian Advanced Engineering Informatics 53, 101682, 2022 | 57 | 2022 |
| Relationship transfer domain generalization network for rotating machinery fault diagnosis under different working conditions Q Qian, J Zhou, Y Qin IEEE Transactions on Industrial Informatics 19 (9), 9898-9908, 2023 | 49 | 2023 |
| Maximum mean square discrepancy: a new discrepancy representation metric for mechanical fault transfer diagnosis Q Qian, Y Wang, T Zhang, Y Qin Knowledge-Based Systems 276, 110748, 2023 | 43 | 2023 |
| Deep joint distribution alignment: A novel enhanced-domain adaptation mechanism for fault transfer diagnosis Y Qin, Q Qian, J Luo, H Pu IEEE Transactions on Cybernetics 53 (5), 3128-3138, 2022 | 40 | 2022 |
| Partial transfer fault diagnosis by multiscale weight-selection adversarial network Q Qian, Y Qin, J Luo, S Wang IEEE/ASME Transactions on Mechatronics 27 (6), 4798-4806, 2022 | 33 | 2022 |
| Intermediate distribution alignment and its application into mechanical fault transfer diagnosis Y Qin, Q Qian, Y Wang, J Zhou IEEE Transactions on Industrial Informatics 18 (10), 7305-7315, 2022 | 28 | 2022 |
| Multiscale transfer voting mechanism: A new strategy for domain adaption Y Qin, X Wang, Q Qian, H Pu, J Luo IEEE Transactions on Industrial Informatics 17 (10), 7103-7113, 2020 | 28 | 2020 |
| A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis C Chu, Y Ge, Q Qian, B Hua, J Guo Digital Signal Processing 122, 103355, 2022 | 25 | 2022 |
| Multiscale domain adaption models and their application in fault transfer diagnosis of planetary gearboxes Q Yao, Y Qin, X Wang, Q Qian Engineering Applications of Artificial Intelligence 104, 104383, 2021 | 23 | 2021 |
| Cross-machine transfer fault diagnosis by ensemble weighting subdomain adaptation network Q Qian, Y Qin, J Luo, D Xiao IEEE Transactions on Industrial Electronics 70 (12), 12773-12783, 2023 | 22 | 2023 |
| Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis Q Yao, Q Qian, Y Qin, L Guo, F Wu Engineering Applications of Artificial Intelligence 113, 104932, 2022 | 21 | 2022 |
| Transfer life prediction of gears by cross-domain health indicator construction and multi-hierarchical long-term memory augmented network D Chen, Y Qin, Q Qian, Y Wang, F Liu Reliability Engineering & System Safety 230, 108916, 2023 | 16 | 2023 |
| Adaptive intermediate class-wise distribution alignment: a universal domain adaptation and generalization method for machine fault diagnosis Q Qian, J Luo, Y Qin IEEE transactions on neural networks and learning systems, 2024 | 11 | 2024 |
| High-precision cutterhead torque prediction for tunnel boring machines using an attention-based embedded LSTM neural network Y Qin, J Zhou, D Xiao, C Qin, Q Qian Measurement 224, 113888, 2024 | 2 | 2024 |
| Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery Y Qin, Q Qian, Z Wang, Y Mao Engineering Applications of Artificial Intelligence 126, 107082, 2023 | 2 | 2023 |
| Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis Q Qian, H Pu, T Tu, Y Qin Mechanical Systems and Signal Processing 217, 111544, 2024 | 1 | 2024 |
| Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis Q Qian, J Luo, Y Qin IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | | 2024 |
| Large model for rotating machine fault diagnosis based on a dense connection network with depthwise separable convolution Y Qin, T Zhang, Q Qian, Y Mao IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
