Research on Fault Diagnosis of Surge Arresters Based on Support Vector Recurrent Neural Network.
Ying JinXiaodong ZhangLingfeng QiuYong DingYamei LuoZhijun ZhangYongxia HanJiantao ZhangLin YangPublished in: ISNN (2024)
Keyphrases
- fault diagnosis
- recurrent neural networks
- support vector
- neural network
- feed forward
- expert systems
- recurrent networks
- complex valued
- fault detection
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- hidden layer
- artificial neural networks
- multiple faults
- rotating machinery
- reservoir computing
- electronic equipment
- echo state networks
- monitoring and fault diagnosis
- rbf neural network
- kernel function
- gas turbine
- radial basis function
- power transformers
- feedforward neural networks
- operating conditions
- bp algorithm
- support vector machine
- industrial systems
- feature selection
- chemical process
- condition monitoring
- analog circuits
- neural network structure
- artificial intelligence
- electrical power systems
- short term
- neuro fuzzy
- fault diagnostic
- tennessee eastman
- activation function
- support vector regression
- back propagation
- decision making