Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU.
Feiyu LuQingbin TongJianjun XuZiwei FengXin WangJingyi HuoQingzhu WanPublished in: Adv. Eng. Informatics (2024)
Keyphrases
- domain adaptation
- fault diagnosis
- high speed
- expert systems
- learning process
- monitoring and fault diagnosis
- covariate shift
- fault detection
- reinforcement learning
- supervised learning
- neural network
- multi view
- analog circuits
- operating conditions
- test cases
- labeled data
- prior knowledge
- learning algorithm
- machine learning