Fault diagnosis of wind turbine gearbox using a novel method of fast deep graph convolutional networks X Yu, B Tang, K Zhang IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 125 | 2021 |
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox K Zhang, B Tang, L Deng, X Liu Measurement 179, 109491, 2021 | 120 | 2021 |
A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels K Zhang, B Tang, L Deng, Q Tan, H Yu Mechanical Systems and Signal Processing 161, 107963, 2021 | 89 | 2021 |
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 |
Residual gated dynamic sparse network for gearbox fault diagnosis using multisensor data H Huang, B Tang, J Luo, H Pu, K Zhang IEEE Transactions on Industrial Informatics 18 (4), 2264-2273, 2021 | 29 | 2021 |
Fault Detection of Wind Turbines by Subspace Reconstruction-Based Robust Kernel Principal Component Analysis K Zhang, B Tang, L Deng, X Yu IEEE Transactions on Instrumentation and Measurement, 1-11, 2021 | 27 | 2021 |
A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings T Zuo, K Zhang, Q Zheng, X Li, Z Li, G Ding, M Zhao Reliability Engineering & System Safety 237, 109337, 2023 | 21 | 2023 |
Fault diagnosis method of wind turbine gearboxes mixed with attention prototype networks under small samples H YU, B Tang, K ZHANG, Q TAN, J WEI China Mechanical Engineering 32 (20), 2475, 2021 | 20 | 2021 |
Fault source location of wind turbine based on heterogeneous nodes complex network K Zhang, B Tang, L Deng, X Yu, J Wei Engineering Applications of Artificial Intelligence 103, 104300, 2021 | 16 | 2021 |
小样本下混合自注意力原型网络的风电齿轮箱故障诊断方法 余浩帅, 汤宝平, 张楷, 谭骞, 魏静 中国机械工程 32 (20), 2475, 2021 | 13 | 2021 |
A novel remaining useful life transfer prediction method of rolling bearings based on working conditions common benchmark Z Li, K Zhang, Y Liu, Y Zou, G Ding IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022 | 8 | 2022 |
A frequency-spatial hybrid attention mechanism improved tool wear state recognition method guided by structure and process parameters X Lai, K Zhang, Q Zheng, Z Li, G Ding, K Ding Measurement 214, 112833, 2023 | 7 | 2023 |
Wind turbine gearbox fault warning based on depth variational autoencoders network fusion SCADA data JT Ren, BP Tang, B Yong, L Deng, K Zhang Acta Energiae Solaris Sinica 42 (4), 403-408, 2021 | 6 | 2021 |
A novel prediction method based on bi-channel hierarchical vision transformer for rolling bearings’ remaining useful life W Hao, Z Li, G Qin, K Ding, X Lai, K Zhang Processes 11 (4), 1153, 2023 | 5 | 2023 |
Fault Diagnosis with Bidirectional Guided Convolutional Neural Networks Under Noisy Labels K Zhang, Z Li, Q Zheng, G Ding, B Tang, M Zhao IEEE Sensors Journal, 2023 | 4 | 2023 |
Wear identification of end mills based on a feature-weighted convolutional neural network under unbalanced samples Y Zou, K Ding, K Shi, X Lai, K Zhang, G Ding, G Qin Journal of Manufacturing Processes 89, 64-76, 2023 | 4 | 2023 |
Sample Correlation Improvement Based High Speed Train Fault Diagnosis Method K ZHANG, Y LUO, Y ZOU, C WANG, X SONG China Mechanical Engineering 29 (02), 151, 2018 | 4 | 2018 |
Degradation trend feature generation improved rotating machines RUL prognosis method with limited run-to-failure data K Zhang, Y Liu, Y Zou, K Ding, Y Liu, Q Zheng, G Ding Measurement Science and Technology 34 (7), 075019, 2023 | 2 | 2023 |
Transfer Prediction Method of Bearing Remaining Useful Life Based on Deep Feature Evaluation under Different Working Conditions Y Liu, Y Zou, K Zhang Sensors 23 (19), 8254, 2023 | 1 | 2023 |
DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition X Lai, K Zhang, Q Zheng, M Zhao, G Ding, B Tang, Z Li Mechanical Systems and Signal Processing 215, 111421, 2024 | | 2024 |