Power Transformer Fault Diagnosis Using Support Vector Machine and Particle Swarm Optimization.
Wenxiong MoTusongjiang KariHongbing WangLe LuanWensheng GaoPublished in: ISCID (1) (2017)
Keyphrases
- power transformers
- fault diagnosis
- particle swarm optimization
- support vector machine
- pso algorithm
- expert systems
- neural network
- condition monitoring
- multi objective
- fuzzy logic
- fault detection
- global optimization
- fault detection and diagnosis
- particle swarm optimization pso
- rbf neural network
- training data
- differential evolution
- feature vectors
- support vector machine svm
- support vector
- feature selection
- chemical process
- operating conditions
- bp neural network
- kernel function
- electronic equipment
- radial basis function
- rotating machinery
- feature space
- convergence speed
- failure diagnosis
- machine learning
- multi sensor information fusion
- fault diagnostic
- gas turbine
- analog circuits
- industrial systems
- multiple faults
- fault identification
- electrical power systems
- monitoring and fault diagnosis
- training set
- support vector regression
- fuzzy clustering
- fault detection and isolation
- knn
- artificial neural networks
- artificial intelligence