| Broad convolutional neural network based industrial process fault diagnosis with incremental learning capability W Yu, C Zhao IEEE Transactions on Industrial Electronics 67 (6), 5081-5091, 2019 | 206 | 2019 |
| Robust monitoring and fault isolation of nonlinear industrial processes using denoising autoencoder and elastic net W Yu, C Zhao IEEE Transactions on Control Systems Technology 28 (3), 1083-1091, 2019 | 171 | 2019 |
| Sparse exponential discriminant analysis and its application to fault diagnosis W Yu, C Zhao IEEE Transactions on industrial electronics 65 (7), 5931-5940, 2017 | 129 | 2017 |
| Recursive exponential slow feature analysis for fine-scale adaptive processes monitoring with comprehensive operation status identification W Yu, C Zhao IEEE Transactions on Industrial Informatics 15 (6), 3311-3323, 2018 | 121 | 2018 |
| Online fault diagnosis for industrial processes with Bayesian network-based probabilistic ensemble learning strategy W Yu, C Zhao IEEE Transactions on Automation Science and Engineering 16 (4), 1922-1932, 2019 | 83 | 2019 |
| Online fault diagnosis in industrial processes using multimodel exponential discriminant analysis algorithm W Yu, C Zhao IEEE Transactions on Control Systems Technology 27 (3), 1317-1325, 2018 | 74 | 2018 |
| MoniNet with concurrent analytics of temporal and spatial information for fault detection in industrial processes W Yu, C Zhao, B Huang IEEE Transactions on Cybernetics 52 (8), 8340-8351, 2021 | 57 | 2021 |
| Stationary subspace analysis-based hierarchical model for batch processes monitoring W Yu, C Zhao, B Huang IEEE Transactions on Control Systems Technology 29 (1), 444-453, 2020 | 52 | 2020 |
| Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations W Yu, C Zhao, B Huang Journal of Process Control 92, 319-332, 2020 | 49 | 2020 |
| Low-rank characteristic and temporal correlation analytics for incipient industrial fault detection with missing data W Yu, C Zhao IEEE Transactions on Industrial Informatics 17 (9), 6337-6346, 2020 | 38 | 2020 |
| A generalized probabilistic monitoring model with both random and sequential data W Yu, M Wu, B Huang, C Lu Automatica 144, 110468, 2022 | 29 | 2022 |
| Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes W Yu, C Zhao Journal of Process Control 107, 47-57, 2021 | 14 | 2021 |
| Meticulous process monitoring with multiscale convolutional feature extraction W Yu, M Wu, C Lu Journal of Process Control 106, 20-28, 2021 | 13 | 2021 |
| 非平稳间歇过程数据解析与状态监控—回顾与展望 赵春晖， 余万科， 高福荣 自动化学报 46 (10), 2072-2091, 2020 | 11 | 2020 |
| A robust dissimilarity distribution analytics with Laplace distribution for incipient fault detection W Yu, C Zhao, B Huang, M Wu IEEE Transactions on Industrial Electronics, 2023 | 9 | 2023 |
| Hyperspectral image target detection based on exponential smoothing method J Yin, B Han, W Yu 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 9 | 2015 |
| A two-step parallel phase partition algorithm for monitoring multiphase batch processes with limited batches W Yu, C Zhao, S Zhang IFAC-PapersOnLine 50 (1), 2750-2755, 2017 | 7 | 2017 |
| Early warning of loss and kick for drilling process based on sparse autoencoder with multivariate time series Z Zhang, X Lai, S Du, W Yu, M Wu IEEE Transactions on Industrial Informatics, 2023 | 6 | 2023 |
| Hybrid norm pursuit method for hyperspectral image reconstruction J Yin, W Yu, X Jia IEEE journal of selected topics in Applied earth observations and remote …, 2016 | 6 | 2016 |
| Data augmentation considering distribution discrepancy for fault diagnosis of drilling process with limited samples A Yang, C Lu, W Yu, J Hu, Y Nakanishi, M Wu IEEE Transactions on Industrial Electronics, 2022 | 3 | 2022 |
Chunhui ZhaoZhejiang UniversityVerified email at zju.edu.cn
