| Dynamic responses of corrugated cylindrical shells subjected to nonlinear low-velocity impact Y Liu, W Hu, R Zhu, B Safaei, Z Qin, F Chu Aerospace Science and Technology 121, 107321, 2022 | 44 | 2022 |
| A novel Ramanujan digital twin for motor periodic fault monitoring and detection W Hu, T Wang, F Chu IEEE Transactions on Industrial Informatics, 2023 | 24 | 2023 |
| Fault feature recovery with Wasserstein generative adversarial imputation network with gradient penalty for rotating machine health monitoring under signal loss condition W Hu, T Wang, F Chu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 19 | 2022 |
| Matching contrastive learning: an effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data S Sun, W Hu, Y Liu, T Wang, F Chu Expert Systems with Applications 223, 119891, 2023 | 16 | 2023 |
| A Wasserstein generative digital twin model in health monitoring of rotating machines W Hu, T Wang, F Chu Computers in Industry 145, 103807, 2023 | 9 | 2023 |
| Transparent operator network: a fully interpretable network incorporating learnable wavelet operator for intelligent fault diagnosis Q Li, H Li, W Hu, S Sun, Z Qin, F Chu IEEE Transactions on Industrial Informatics, 2024 | 1 | 2024 |
| Modeling of Interturn Short Fault in Interior Permanent Magnet Synchronous Motors With Multistrand Windings Q Zhou, W Hu, T Wang, F Chu IEEE Transactions on Industrial Electronics, 2024 | | 2024 |
| Wind turbine blade breakage detection based on environment-adapted contrastive learning S Sun, Q Li, W Hu, Z Liang, T Wang, F Chu Renewable Energy 219, 119487, 2023 | | 2023 |
| A Fully Transparent Deep Signal Operator Network for Intelligent Fault Diagnosis Q Li, S Sun, W Hu, H Li, Z Qin, F Chu 2023 Global Reliability and Prognostics and Health Management Conference …, 2023 | | 2023 |
| A Deep Generative Digital Twin for Vehicle Steering System Health Monitoring with Limited Healthy Monitoring Samples W Hu, Q Zhou, S Sun, Q Li, H Li, T Wang, F Chu 2023 Global Reliability and Prognostics and Health Management Conference …, 2023 | | 2023 |
| 仿真驱动下基于 Ramanujan 周期变换的轴承早期故障特征提取 胡文扬， 王天杨， 张飞斌， 褚福磊 机械工程学报 59 (13), 148-156, 2023 | | 2023 |
| Extraction of Early Fault Features of Bearings Based on Ramanujan Period Transform Method Driven by Simulation FC Wenyang Hu, Tianyang Wang, Feibin Zhang Journal of Mechanical Engineering 59 (13), 148-156, 2023 | | 2023 |
