Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning.
Zhi ZhuangGuohua ZhangWei DongXinya SunChuanjiang WangPublished in: Australasian Conference on Artificial Intelligence (2018)
Keyphrases
- fault detection
- deep learning
- high speed railway
- fault diagnosis
- industrial processes
- unsupervised learning
- tennessee eastman
- machine learning
- unsupervised feature learning
- modeling method
- fuel cell
- power plant
- intelligent systems
- expert systems
- puts forward
- decision support system
- weakly supervised
- search space
- artificial neural networks
- feature extraction
- decision making
- learning algorithm