A novel MP-LSTM method for ship trajectory prediction based on AIS data D Gao, Y Zhu, J Zhang, Y He, K Yan, B Yan Ocean Engineering 228, 108956, 2021 | 136 | 2021 |
A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis Z Ren, Y Zhu, K Yan, K Chen, W Kang, Y Yue, D Gao Mechanical systems and signal processing 138, 106608, 2020 | 117 | 2020 |
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity D Gao, Y Zhu, Z Ren, K Yan, W Kang Knowledge-Based Systems 231, 107413, 2021 | 87 | 2021 |
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data Z Ren, Y Zhu, W Kang, H Fu, Q Niu, D Gao, K Yan, J Hong Knowledge-based systems 241, 108296, 2022 | 59 | 2022 |
A fault diagnosis method of rolling bearing based on complex morlet CWT and CNN D Gao, Y Zhu, X Wang, K Yan, J Hong 2018 prognostics and system health management conference (PHM-Chongqing …, 2018 | 49 | 2018 |
Joint learning system based on semi–pseudo–label reliability assessment for weak–fault diagnosis with few labels D Gao, Y Zhu, K Yan, H Fu, Z Ren, W Kang, CG Soares Mechanical Systems and Signal Processing 189, 110089, 2023 | 31 | 2023 |
Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process D Gao, Y Zhu, CG Soares Reliability Engineering & System Safety 230, 108963, 2023 | 29 | 2023 |
Research on extracting weak repetitive transients of fault rolling element bearing W Kang, Y Zhu, K Yan, Z Ren, D Gao, J Hong ISA transactions 123, 381-397, 2022 | 19 | 2022 |
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis D Gao, K Huang, Y Zhu, L Zhu, K Yan, Z Ren, CG Soares Reliability Engineering & System Safety 242, 109746, 2024 | 18 | 2024 |
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis Z Ren, D Gao, Y Zhu, Q Ni, K Yan, J Hong Engineering Applications of Artificial Intelligence 124, 106542, 2023 | 18 | 2023 |
CCFT: the convolution and cross-fusion transformer for fault diagnosis of bearings T Lin, Y Zhu, Z Ren, K Huang, D Gao IEEE/ASME Transactions on Mechatronics, 2023 | 10 | 2023 |
Deep learning–based framework for regional risk assessment in a multi–ship encounter situation based on the transformer network D Gao, Y Zhu, K Yan, CG Soares Reliability Engineering & System Safety 241, 109636, 2024 | 8 | 2024 |
Match-reinforcement learning with time frequency selection for bearing fault diagnosis J Wang, D Gao, Y Zhu, Z Ren, R Zhao, T Lin, K Yan, J Hong Measurement Science and Technology 34 (12), 125005, 2023 | 7 | 2023 |
Weak fault detection with a two-stage key frequency focusing model D Gao, Y Zhu, W Kang, H Fu, K Yan, Z Ren ISA transactions 125, 384-399, 2022 | 7 | 2022 |
Ship track prediction based on LSTM KD Chen, YS Zhu, K Yan, YQ Cai, ZJ Ren, DW Gao Ship & Ocean Engineering 48 (6), 121-125, 2019 | 4 | 2019 |
A novel long sequence multi-step ship trajectory prediction method considering historical data DW Gao, Q Wang, YS Zhu, L Xie, JF Zhang, K Yan, P Zhang Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2023 | 3 | 2023 |
Modeling and fault size estimation for non-penetrating damage in the outer raceway of tapered roller bearing W Kang, Y Zhu, K Yan, Y Liu, D Gao, Z Ren Machines 10 (7), 516, 2022 | 3 | 2022 |
一种滚动轴承特征频率的自动识别方法研究 高大为, 朱永生, 刘煜炜, 曹鹏辉, 高闯 振动与冲击 36 (9), 58-62, 2017 | 3 | 2017 |
Generation of high-dimensional vibration signal and its application in fault diagnosis Z Ren, D Gao, Y Zhu, K Yan, J Hong, K Feng Measurement Science and Technology 35 (1), 015103, 2023 | 1 | 2023 |
Multi-source fault data fusion diagnosis method based on hyper-feature space graph collaborative embedding X Dong, H Ding, D Gao, G Zheng, J Wang, Q Lang Advanced Engineering Informatics 64, 103092, 2025 | | 2025 |