A Real-Time Fault Detection Framework Based on Unsupervised Deep Learning for Prognostics and Health Management of Railway Assets.
Minoru ShimizuSuresh PerinpanayagamBernadin NamoanoPublished in: IEEE Access (2022)
Keyphrases
- fault detection
- deep learning
- health management
- real time
- fault diagnosis
- unsupervised learning
- industrial processes
- evolutionary algorithm
- data mining techniques
- data driven approaches
- weakly supervised
- power plant
- medical images
- domain specific
- supervised learning
- semi supervised
- control system
- pattern recognition
- decision making
- neural network