Explainable fault diagnosis of gas-liquid separator based on fully convolutional neural network.
Jiaquan LiuLei HouXin WangRui ZhangXingshen SunLei XuQiaoyan YuPublished in: Comput. Chem. Eng. (2021)
Keyphrases
- fault diagnosis
- convolutional neural network
- neural network
- face detection
- fault detection
- chemical process
- genetic algorithm
- expert systems
- bp neural network
- fuzzy logic
- power transformers
- fault detection and diagnosis
- multiple faults
- electronic equipment
- monitoring and fault diagnosis
- rbf neural network
- rotating machinery
- failure diagnosis
- industrial systems
- analog circuits
- fault identification
- gas turbine
- multi sensor information fusion
- condition monitoring
- operating conditions
- mathematical model
- soft computing methods
- artificial neural networks
- membership functions
- back propagation
- fault detection and isolation
- detection method
- multi class
- support vector
- fault tree
- electrical power systems
- computer vision
- real time