Multistep dynamic slow feature analysis for industrial process monitoring X Ma, Y Si, Z Yuan, Y Qin, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (12), 9535-9548, 2020 | 91 | 2020 |
Artificial neural correlation analysis for performance-indicator-related nonlinear process monitoring Q Chen, Z Liu, X Ma, Y Wang IEEE Transactions on Industrial Informatics 18 (2), 1039-1049, 2021 | 67 | 2021 |
Length of stay prediction for ICU patients using individualized single classification algorithm X Ma, Y Si, Z Wang, Y Wang Computer methods and programs in biomedicine 186, 105224, 2020 | 57 | 2020 |
Degradation state partition and compound fault diagnosis of rolling bearing based on personalized multilabel learning X Ma, Y Hu, M Wang, F Li, Y Wang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 55 | 2021 |
Fault detection for dynamic processes based on recursive innovational component statistical analysis X Ma, Y Si, Y Qin, Y Wang IEEE Transactions on Automation Science and Engineering 20 (1), 310-319, 2022 | 32 | 2022 |
Gear fault diagnosis based on variational modal decomposition and wide+ narrow visual field neural networks M Wang, X Ma, Y Hu, Y Wang IEEE Transactions on Automation Science and Engineering 19 (4), 3288-3299, 2021 | 28 | 2021 |
Health status monitoring for ICU patients based on locally weighted principal component analysis Y Ding, X Ma, Y Wang Computer methods and programs in biomedicine 156, 61-71, 2018 | 12 | 2018 |
Autocorrelation feature analysis for dynamic process monitoring of thermal power plants X Ma, D Wu, S Gao, T Hou, Y Wang IEEE Transactions on Cybernetics, 2022 | 8 | 2022 |
Fault diagnosis of bearings and gears based on litenet with feature aggregation Q Li, X Ma, M Cui, Y Hu, J Zhao, Y Wang IEEE Transactions on Instrumentation and Measurement 72, 1-9, 2023 | 7 | 2023 |
Survey on recursive statistical process monitoring methods Y Wang, Y Qin, Z Lou, X Ma The Canadian Journal of Chemical Engineering 100 (9), 2093-2103, 2022 | 6 | 2022 |
Application and exploration of self-attention mechanism in dynamic process monitoring X Ma, Z Liu, M Zheng, Y Wang IFAC-PapersOnLine 55 (6), 139-144, 2022 | 5 | 2022 |
A deep learning model for bearing fault diagnosis based on convolution neural network with multi-channel and residual network J Tuo, Y Hu, X Ma, Y Wang 2021 33rd Chinese Control and Decision Conference (CCDC), 1278-1283, 2021 | 4 | 2021 |
Research on blood glucose data prediction based on I-GWO-KELM algorithm X Chen, X Ma, L Shi 2021 40th Chinese Control Conference (CCC), 2698-2702, 2021 | 2 | 2021 |
Self-healing control method combining model predictive control and restart strategy for 4WD mobile robot S Gao, M Cui, X Ma, Y Wang 2022 34th Chinese Control and Decision Conference (CCDC), 1912-1917, 2022 | 1 | 2022 |
A Novel Principal Component Selection Strategy for Feature Extraction and Dimension Reduction M Cui, X Ma, Q Li, T Hou, Y Wang 2022 41st Chinese Control Conference (CCC), 4040-4045, 2022 | 1 | 2022 |
Chinese Electronic Medical Record Named Entity Recognition based on FastBERT method J Tuo, Z Liu, Q Chen, X Ma, Y Wang 2021 33rd Chinese Control and Decision Conference (CCDC), 2405-2410, 2021 | 1 | 2021 |
Online Feature Selection Method Based on Change Rate for Process Monitoring T Hou, X Ma, Q Chen, M Cui, Y Wang 2022 41st Chinese Control Conference (CCC), 3984-3989, 2022 | | 2022 |
基于多标签学习的旋转机械分级复合故障诊断 马鑫, 陈庆, 柴榕敏, 崔明亮, 王友清 控制与决策 37 (7), 1772-1778, 2022 | | 2022 |
Multimode Processes Monitoring based on Slow Feature Analysis with Personalized Modeling X Ma, S Gao, R Chai, Q Li, H Ma, Y Wang 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical …, 2021 | | 2021 |
Recursive Innovational Component Statistical Analysis for Fault Detection in Dynamic Processes Y Si, X Ma, B Li, Y Tang, Y Wang 2021 40th Chinese Control Conference (CCC), 4425-4430, 2021 | | 2021 |