A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches.
Seokju HamSeok-Youn HanSeokgoo KimHyung Jun ParkKee-Jun ParkJooho ChoiPublished in: Sensors (2019)
Keyphrases
- fault diagnosis
- deep learning
- neural network
- fault detection
- expert systems
- chemical process
- bp neural network
- unsupervised learning
- electronic equipment
- gas turbine
- fault detection and diagnosis
- multiple faults
- power transformers
- unsupervised feature learning
- analog circuits
- condition monitoring
- multi sensor information fusion
- support vector
- machine learning
- operating conditions
- rbf neural network
- learning strategies
- pairwise
- reinforcement learning
- image processing
- knowledge base
- rotating machinery
- feature selection