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[1] 刘雨蒙,李旭东.Differentiable neural architecture search for domain adaptation in fault diagnosis:Mechanical Systems and Signal Processing,2023,202
[2] 胡杨,苗学问, Yong Si, Ershun Pan, Enrico Zio.Prognostics and health management: A review from the perspectives of design, development and decision:Reliability Engineering & System Safety,2022,217
[3] 李旭东,Jianhua Zheng, Jianhua Zheng, Mingtao Li, Wenzhen Ma.One-shot neural architecture search for fault diagnosis using vibration signals:Expert Systems with Applications,2022,190
[4] 李旭东,Jianhua Zheng, Mingtao Li, Wenzhen Ma.Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis:Sensors,2021,21(2):1-26
[5] 胡杨,苗学问,张俊, Ershun Pan.Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization:Computers & Industrial Engineering,2021,153
[6] 李旭东,Jianhua Zheng, Mingtao Li, Wenzhen Ma.Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis:Neurocomputing,2021,429:12-24
[7] Jie Liu,Shunkun Yang.A SVM-based framework for fault detection in high-speed trains:Measurement,2021,172
[8] Yan-Hui Lin,Sheng-Jia Ruan,陶飞.Dynamic Mode Transfer Scheduling for Degrading Standby System Considering Load-Sharing Characteristic:IEEE System Journal,2021,15(4):5405-5416
[9] 胡杨,Piero Baraldi, Francesco Di Maio, Jie Liu, Enrico Zio.A method for fault diagnosis in evolving environment using unlabeled data:Journal of Risk and Reliability,2021,235(1):33-49
[10] Gabriel Michau,胡杨, Thomas Palmé.Feature learning for fault detection in high-dimensional condition monitoring signals:Journal of Risk and Reliability,2020,234(1):104-115

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