Real-time fault diagnosis using deep fusion of features extracted by parallel long short-term memory with peephole and convolutional neural network.
Funa ZhouZhiqiang ZhangDanmin ChenPublished in: J. Syst. Control. Eng. (2021)
Keyphrases
- fault diagnosis
- convolutional neural network
- real time
- neural network
- fault detection
- feature space
- extracted features
- monitoring and fault diagnosis
- chemical process
- bp neural network
- gas turbine
- feature set
- expert systems
- fault identification
- operating conditions
- feature vectors
- industrial systems
- analog circuits
- multiple faults
- condition monitoring
- rotating machinery
- electrical power systems
- power transformers
- fuzzy logic
- feature extraction
- fault detection and diagnosis
- electronic equipment
- fault diagnostic
- fault detection and isolation
- power plant
- power system
- knowledge base
- multi sensor information fusion