刘雨蒙,lixudong.Differentiable neural architecture search for domain adaptation in fault diagnosis:Mechanical Systems and Signal Processing,4523,202

Hu Yang,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,4456,217

lixudong,Jianhua Zheng, Jianhua Zheng, Mingtao Li, Wenzhen Ma.One-shot neural architecture search for fault diagnosis using vibration signals:Expert Systems with Applications,4463,190

lixudong,Jianhua Zheng, Mingtao Li, Wenzhen Ma.Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis:Sensors,4420,21(2):1-26

Hu Yang,苗学问,Jun Zhang, Ershun Pan.Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization:Computers & Industrial Engineering,4425,153

lixudong,Jianhua Zheng, Mingtao Li, Wenzhen Ma.Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis:Neurocomputing,4426,429:12-24

Jie Liu,Shunkun Yang.A SVM-based framework for fault detection in high-speed trains:Measurement,4422,172

Hu Yang,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,4405,235(1):33-49

Gabriel Michau,Hu Yang, Thomas Palmé.Feature learning for fault detection in high-dimensional condition monitoring signals:Journal of Risk and Reliability,4370,234(1):104-115

lixudong,Mingtao Li, Jianhua Zheng.Fault diagnostics between different type of components: A transfer learning approach:Applied Soft Computing,4383,86:11