| A systematic review of deep transfer learning for machinery fault diagnosis C Li, S Zhang, Y Qin, E Estupinan Neurocomputing 407, 121-135, 2020 | 321 | 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 | 214 | 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 | 204 | 2018 |
| 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 | 196 | 2011 |
| 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 | 165 | 2019 |
| 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 | 163 | 2020 |
| 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 | 145 | 2019 |
| 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 | 125 | 2015 |
| 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 | 121 | 2020 |
| 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 | 116 | 2021 |
| 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 | 111 | 2021 |
| 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 | 102 | 2019 |
| 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 | 98 | 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 | 95 | 2020 |
| 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 | 89 | 2019 |
| 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 | 87 | 2021 |
| Adaptive bistable stochastic resonance and its application in mechanical fault feature extraction Y Qin, Y Tao, Y He, B Tang Journal of Sound and Vibration 333 (26), 7386-7400, 2014 | 86 | 2014 |
| M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems Y Qin, Y Mao, B Tang, Y Wang, H Chen Mechanical systems and signal processing 134, 106298, 2019 | 84 | 2019 |
| Research on iterated Hilbert transform and its application in mechanical fault diagnosis Y Qin, S Qin, Y Mao Mechanical Systems and Signal Processing 22 (8), 1967-1980, 2008 | 82 | 2008 |
| Fault diagnosis of planetary gearbox using a novel semi-supervised method of multiple association layers networks K Zhang, B Tang, Y Qin, L Deng Mechanical Systems and Signal Processing 131, 243-260, 2019 | 80 | 2019 |
Yi WangChongqing UniversityПотвърден имейл адрес: cqu.edu.cn
