Fault Diagnosis of Rotating Machinery based on Domain Adversarial Training of Neural Networks.
Yun DiRui YangMengjie HuangPublished in: ISIE (2021)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- fault detection
- expert systems
- training algorithm
- fuzzy logic
- fault detection and diagnosis
- power transformers
- bp neural network
- training process
- operating conditions
- chemical process
- gas turbine
- multiple faults
- failure diagnosis
- fault identification
- electronic equipment
- feed forward neural networks
- training set
- rbf neural network
- electrical power systems
- industrial systems
- condition monitoring
- analog circuits
- feedforward neural networks
- artificial neural networks
- fault tree
- back propagation
- multilayer perceptron
- multi sensor information fusion
- computational intelligence
- fault detection and isolation
- fuzzy neural network
- multi layer perceptron
- real time
- fuzzy inference