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Kai Zhang/张楷
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Year
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
1252021
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
1202021
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
892021
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
802019
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
292021
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
272021
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
212023
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
202021
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
162021
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
132021
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
82022
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
72023
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
62021
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
52023
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
42023
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
42023
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
42018
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
22023
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
12023
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
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