| Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains Y Wu, B Jiang, Y Wang ISA transactions 99, 488-495, 2020 | 215 | 2020 |
| A descriptor system approach for estimation of incipient faults with application to high-speed railway traction devices Y Wu, B Jiang, N Lu IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (10), 2108-2118, 2017 | 207 | 2017 |
| Multiple incipient sensor faults diagnosis with application to high-speed railway traction devices Y Wu, B Jiang, N Lu, H Yang, Y Zhou ISA transactions 67, 183-192, 2017 | 64 | 2017 |
| ToMFIR-based incipient fault detection and estimation for high-speed rail vehicle suspension system Y Wu, B Jiang, N Lu, D Zhou Journal of the Franklin Institute 352 (4), 1672-1692, 2015 | 33 | 2015 |
| Incipient fault diagnosis for T–S fuzzy systems with application to high‐speed railway traction devices Y Wu, B Jiang, P Shi IET Control Theory & Applications 10 (17), 2286-2297, 2016 | 32 | 2016 |
| Bayesian Network Based Fault Prognosis via Bond Graph Modeling of High‐Speed Railway Traction Device Y Wu, B Jiang, N Lu, Y Zhou Mathematical Problems in Engineering 2015 (1), 321872, 2015 | 30 | 2015 |
| Review of fault diagnosis and prognosis techniques for high-speed railway traction system B Jiang, YK Wu, NY Lu, ZH Mao Control and Decision 33 (5), 841-855, 2018 | 29 | 2018 |
| Deep PCA-Based Incipient Fault Diagnosis and Diagnosability Analysis of High-Speed Railway Traction System via FNR Enhancement Y Wu, X Liu, Y Zhou Machines 11 (4), 475, 2023 | 17 | 2023 |
| Robust fault estimation and fault-tolerant control for discrete-time systems subject to periodic disturbances Y Hu, X Dai, Y Wu, B Jiang, D Cui, Z Jia IEEE Transactions on Circuits and Systems I: Regular Papers 70 (7), 2982-2994, 2023 | 15 | 2023 |
| Improved deep PCA and Kullback–Leibler divergence based incipient fault detection and isolation of high-speed railway traction devices Y Wu, X Liu, YL Wang, Q Li, Z Guo, Y Jiang Sustainable Energy Technologies and Assessments 57, 103208, 2023 | 14 | 2023 |
| Incipient fault detection of linear system with disturbance C Liu, B Jiang, K Zhang, YK Wu Journal of Shanghai Jiaotong University 49 (6), 889-896, 2015 | 13 | 2015 |
| Actuator fault detection for automation underwater vehicle via extended state observer and adaptive threshold D Hu, Y Wu, Y Zhou, Q Zeng 2022 41st Chinese Control Conference (CCC), 4106-4111, 2022 | 7 | 2022 |
| A Data-Driven scheme for fault detection of discrete-time switched systems H Zhao, H Luo, Y Wu Sensors 21 (12), 4138, 2021 | 7 | 2021 |
| Research on unmanned ship route planning based on the smoothed DGWW algorithm H Meng, P Zhi, W Zhu, H Qiu, H Wang, Y Wu 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 7 | 2021 |
| TS Fuzzy Data-Driven ToMFIR With Application to Incipient Fault Detection and Isolation for High-Speed Rail Vehicle Suspension Systems Y Wu, Y Su, YL Wang, P Shi IEEE Transactions on Intelligent Transportation Systems, 2024 | 6 | 2024 |
| Data-driven ToMFIR-based incipient fault detection and estimation for high-speed rail vehicle suspension systems Y Wu, Y Su, P Shi IEEE Transactions on Industrial Informatics, 2024 | 5 | 2024 |
| A lightweight defense scheme for industrial data transmission against eavesdropping attacks and integrity attacks Y Jiang, S Wu, X Zhao, H Luo, X Li, Y Wu 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 4 | 2021 |
| Overview of Fault Diagnosis and Prediction Technology for High Speed Train Traction System J Bin, W Yun-Kai, L Ning-Yun, M Ze-Hui Control and Decision 33 (5), 841-855, 2018 | 4 | 2018 |
| ToMFIR-based detection and estimation for incipient actuator faults in a class of closed-loop nonlinear systems Y Wu, B Jiang, D Zhou, N Lu, Z Mao IFAC Proceedings Volumes 47 (3), 1096-1101, 2014 | 4 | 2014 |
| Fault Diagnosis of Autonomous Underwater Vehicle with Missing Data Based on Multi-Channel Full Convolutional Neural Network Y Wu, A Wang, Y Zhou, Z Zhu, Q Zeng Machines 11 (10), 960, 2023 | 3 | 2023 |
