| A systematic review of deep transfer learning for machinery fault diagnosis C Li, S Zhang, Y Qin, E Estupinan Neurocomputing 407, 121-135, 2020 | 421 | 2020 |
| A new family of model-based impulsive wavelets and their sparse representation for rolling bearing fault diagnosis Y Qin IEEE Transactions on Industrial Electronics 65 (3), 2716-2726, 2017 | 229 | 2017 |
| The optimized deep belief networks with improved logistic sigmoid units and their application in fault diagnosis for planetary gearboxes of wind turbines Y Qin, X Wang, J Zou IEEE Transactions on Industrial Electronics 66 (5), 3814-3824, 2018 | 226 | 2018 |
| Gated dual attention unit neural networks for remaining useful life prediction of rolling bearings Y Qin, D Chen, S Xiang, C Zhu IEEE Transactions on Industrial Informatics 17 (9), 6438-6447, 2020 | 219 | 2020 |
| Macroscopic–microscopic attention in LSTM networks based on fusion features for gear remaining life prediction Y Qin, S Xiang, Y Chai, H Chen IEEE Transactions on Industrial Electronics 67 (12), 10865-10875, 2019 | 212 | 2019 |
| Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD Y Jiang, B Tang, Y Qin, W Liu Renewable energy 36 (8), 2146-2153, 2011 | 207 | 2011 |
| 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 | 176 | 2023 |
| ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis X Wang, Y Qin, Y Wang, S Xiang, H Chen Neurocomputing 363, 88-98, 2019 | 169 | 2019 |
| Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction S Xiang, Y Qin, J Luo, H Pu, B Tang Reliability Engineering & System Safety 216, 107927, 2021 | 156 | 2021 |
| 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 | 152 | 2021 |
| Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction D Chen, Y Qin, Y Wang, J Zhou ISA transactions 114, 44-56, 2021 | 143 | 2021 |
| Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction S Xiang, Y Qin, C Zhu, Y Wang, H Chen Engineering Applications of Artificial Intelligence 91, 103587, 2020 | 142 | 2020 |
| Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine Z Su, B Tang, Z Liu, Y Qin Neurocomputing 157, 208-222, 2015 | 134 | 2015 |
| Data-model combined driven digital twin of life-cycle rolling bearing Y Qin, X Wu, J Luo IEEE Transactions on Industrial Informatics 18 (3), 1530-1540, 2021 | 131 | 2021 |
| Long-term gear life prediction based on ordered neurons LSTM neural networks H Yan, Y Qin, S Xiang, Y Wang, H Chen Measurement 165, 108205, 2020 | 121 | 2020 |
| Transient feature extraction by the improved orthogonal matching pursuit and K-SVD algorithm with adaptive transient dictionary Y Qin, J Zou, B Tang, Y Wang, H Chen IEEE Transactions on Industrial Informatics 16 (1), 215-227, 2019 | 119 | 2019 |
| Order spectrogram visualization for rolling bearing fault detection under speed variation conditions Y Wang, WT Peter, B Tang, Y Qin, L Deng, T Huang, G Xu Mechanical Systems and Signal Processing 122, 580-596, 2019 | 108 | 2019 |
| Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes Y Qin, Q Yao, Y Wang, Y Mao Mechanical Systems and Signal Processing 160, 107936, 2021 | 97 | 2021 |
| 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 | 95 | 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 | 94 | 2023 |
Yi WangChongqing UniversityVerified email at cqu.edu.cn