| 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 | 137 | 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 | 126 | 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 | 96 | 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 | 30 | 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 | 29 | 2023 |
| 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 | 28 | 2021 |
| 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 | 19 | 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 | 17 | 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), 2475G2481, 2021 | 12 | 2021 |
| 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 | 11 | 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 | 9 | 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 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 | 7 | 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 | 5 | 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 | 5 | 2023 |
| Sample Correlation Improvement Based High Speed Train Fault Diagnosis Method 张楷， 罗怡澜， 邹益胜， 王超， 宋小欣 China Mechanical Engineering 29 (02), 151-157, 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 | 3 | 2023 |
| An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis under Noisy Labels G Qin, K Zhang, X Lai, Q Zheng, G Ding, M Zhao, Y Zhang IEEE Transactions on Instrumentation and Measurement, 2024 | 2 | 2024 |
| Prediction tool wear using improved deep extreme learning machines based on the sparrow search algorithm W Zhou, X Xiao, Z Li, K Zhang, R He Measurement Science and Technology 35 (4), 046112, 2024 | 2 | 2024 |
Qing ZhengSouthwest Jiaotong University在 swjtu.edu.cn 的电子邮件经过验证
