Comprehensive fault diagnosis for multiple coupled SFCs based on deep learning.
Dongyu XiaJiayi LiuChen WangWeihua WuPublished in: Comput. Networks (2024)
Keyphrases
- power system
- fault diagnosis
- deep learning
- expert systems
- neural network
- fault detection
- fuzzy logic
- electronic equipment
- gas turbine
- fault detection and diagnosis
- monitoring and fault diagnosis
- rotating machinery
- unsupervised learning
- bp neural network
- power transformers
- unsupervised feature learning
- multiple faults
- analog circuits
- operating conditions
- chemical process
- condition monitoring
- tennessee eastman
- object recognition
- real time
- machine learning
- rbf neural network
- genetic algorithm
- image segmentation
- model selection
- training data