| 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 | 166 | 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 | 164 | 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 | 148 | 2019 |
| 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 |
| 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 | 115 | 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 |
| LSTM networks based on attention ordered neurons for gear remaining life prediction S Xiang, Y Qin, C Zhu, Y Wang, H Chen ISA transactions 106, 343-354, 2020 | 77 | 2020 |
| Automatic multi-differential deep learning and its application to machine remaining useful life prediction S Xiang, Y Qin, F Liu, K Gryllias Reliability Engineering & System Safety 223, 108531, 2022 | 30 | 2022 |
| Spatiotemporally multidifferential processing deep neural network and its application to equipment remaining useful life prediction S Xiang, Y Qin, J Luo, H Pu IEEE Transactions on Industrial Informatics 18 (10), 7230-7239, 2021 | 29 | 2021 |
| Gated adaptive hierarchical attention unit neural networks for the life prediction of servo motors D Chen, Y Qin, J Luo, S Xiang IEEE Transactions on Industrial Electronics 69 (9), 9451-9461, 2021 | 18 | 2021 |
| Cocktail LSTM and Its Application Into Machine Remaining Useful Life Prediction S Xiang, J Zhou, J Luo, F Liu, Y Qin 10.1109/TMECH.2023.3244282, 2023 | 14 | 2023 |
| A concise self-adapting deep learning network for machine remaining useful life prediction S Xiang, Y Qin, J Luo, F Wu, K Gryllias Mechanical Systems and Signal Processing 191, 110187, 2023 | 11 | 2023 |
| Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction S Xiang, P Li, Y Huang, J Luo, Y Qin Reliability Engineering & System Safety 242, 109741, 2024 | 3 | 2024 |
| Micro Transfer Learning Mechanism for Cross-Domain Equipment RUL Prediction S Xiang, P Li, J Luo, Y Qin IEEE Transactions on Automation Science and Engineering 10 (1109), 1 - 11, 2024 | 1 | 2024 |
| Adaptively Lightweight Spatiotemporal Information-Extraction-Operator-Based DL Method for Aero-Engine RUL Prediction J Shi, J Gao, S Xiang Sensors 23 (13), 6163, 2023 | 1 | 2023 |
| Binocular automatic gear pitting detection device based on deep learning Y Qin, D Xi, C Zhu, S Xiang US Patent 11,733,179, 2023 | | 2023 |
| Method for predicting remaining useful life (rul) of aero-engine based on automatic differential learning deep neural network (adldnn) Y Qin, S Xiang, J Luo, H Pu, Q Quan US Patent App. 17/972,539, 2023 | | 2023 |
| Macroscopic-Microscopic Attention in LSTM Networks based on fusion Features for prediction of bearing remaining life Y Qin, S Xiang, H Yan Surveillance, Vishno and AVE conferences, 2019 | | 2019 |
Yi QinChongqing UniversityПотвърден имейл адрес: cqu.edu.cn
