A Hierarchical Training-Convolutional Neural Network for Imbalanced Fault Diagnosis in Complex Equipment.
Yiping GaoLiang GaoXinyu LiSiyu CaoPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- fault diagnosis
- convolutional neural network
- industrial systems
- neural network
- fault detection
- expert systems
- fault detection and diagnosis
- rbf neural network
- analog circuits
- operating conditions
- fuzzy logic
- rotating machinery
- electronic equipment
- multiple faults
- bp neural network
- monitoring and fault diagnosis
- gas turbine
- chemical process
- power plant
- failure diagnosis
- fault detection and isolation
- electrical power systems
- power transformers
- complex systems
- condition monitoring
- fault identification
- training set
- tennessee eastman
- fault diagnostic
- fault tree
- soft computing methods
- steady state
- artificial intelligence
- learning algorithm