| Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data X Zhang, X Zhang, J Liu, B Wu, Y Hu Engineering Applications of Artificial Intelligence 125, 106601, 2023 | 47 | 2023 |
| Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples X Zhang, T Huang, B Wu, Y Hu, S Huang, Q Zhou, X Zhang Frontiers of Mechanical Engineering 16 (2), 340-352, 2021 | 36 | 2021 |
| A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data X Zhang, H Wang, B Wu, Q Zhou, Y Hu Journal of Intelligent Manufacturing 34 (5), 2449-2462, 2023 | 33 | 2023 |
| A novel assessable data augmentation method for mechanical fault diagnosis under noisy labels X Zhang, B Wu, X Zhang, Q Zhou, Y Hu, J Liu Measurement 198, 111114, 2022 | 31 | 2022 |
| An effective MBSE approach for constructing industrial robot digital twin system X Zhang, B Wu, X Zhang, J Duan, C Wan, Y Hu Robotics and Computer-Integrated Manufacturing 80, 102455, 2023 | 28 | 2023 |
| GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks F Zhang, X Zhang arXiv preprint arXiv:2406.13597, 2024 | 21 | 2024 |
| A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals X Zhang, L Jiang, L Wang, T Zhang, F Zhang Advanced Engineering Informatics 60, 102365, 2024 | 18 | 2024 |
| Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis X Zhang, J Liu, X Zhang, Y Lu IEEE Transactions on Industrial Informatics, 2024 | 11 | 2024 |
| Robust rotating machinery diagnosis using a dynamic-weighted graph updating strategy X Zhang, Y Hu, J Liu, X Zhang, B Wu Measurement 202, 111895, 2022 | 9 | 2022 |
| 基于拉普拉斯特征映射和深度置信网络的半监督故障识别 张鑫， 郭顺生， 李益兵， 江丽 机械工程学报 56 (1), 69-81, 2020 | 8 | 2020 |
| A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis D Fu, J Liu, H Zhong, X Zhang, F Zhang Knowledge-Based Systems 295, 111846, 2024 | 7 | 2024 |
| Robust ensemble of metamodels based on the hybrid error measure S Huang, W Jin, B Wu, X Zhang, A Elmi, Y Hu Frontiers of Mechanical Engineering 16 (3), 623-634, 2021 | 6 | 2021 |
| Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery L Wang, F Xie, X Zhang, L Jiang, B Huang Advanced Engineering Informatics 62, 102711, 2024 | 5 | 2024 |
| A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models X Zhang, Y Yang, X Zhang, Y Hu, H Wu, M Li, H Handroos, H Wang, B Wu Advanced Engineering Informatics 62, 102597, 2024 | 5 | 2024 |
| A pilot study: detrusor overactivity diagnosis method based on deep learning Q Zhou, Z Chen, B Wu, D Lin, Y Hu, X Zhang, J Liu Urology 179, 188-195, 2023 | 5 | 2023 |
| A novel spatio-temporal characteristic extraction network for bearing remaining useful life prediction L Jiang, B Cao, X Zhang, B Chen, L Wang, Y Li Measurement Science and Technology 35 (11), 116142, 2024 | 4 | 2024 |
| Semi-supervised few-shot fault diagnosis driven by multi-head dynamic graph attention network under speed fluctuations L Jiang, S Wang, T Zhang, L Wang, Y Li, X Zhang Digital Signal Processing 151, 104528, 2024 | 4 | 2024 |
| Surgicalgs: Dynamic 3d gaussian splatting for accurate robotic-assisted surgical scene reconstruction J Chen, X Zhang, M Islam, F Vasconcelos, D Stoyanov, DS Elson, ... arXiv preprint arXiv:2410.09292, 2024 | 3 | 2024 |
| LiFSO-Net: A lightweight feature screening optimization network for complex-scale flat metal defect detection H Zhong, L Xiao, H Wang, X Zhang, C Wan, Y Hu, B Wu Knowledge-Based Systems 304, 112520, 2024 | 2 | 2024 |
| Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation J Wang, J Liu, Y Lu, H Li, X Zhang Engineering Applications of Artificial Intelligence 133, 108385, 2024 | 2 | 2024 |