A novel multi-class fault diagnosis approach based on support vector machine of particle swarm Optimization and Huffman tree.
Fan WuWeiwei HuYufeng SunPublished in: IEEM (2015)
Keyphrases
- multi class
- fault diagnosis
- support vector machine
- particle swarm optimization
- pso algorithm
- fault detection
- neural network
- expert systems
- chemical process
- feature selection
- svm classifier
- bp neural network
- binary classification
- monitoring and fault diagnosis
- fuzzy logic
- multi objective
- multiple faults
- support vector machine svm
- multi class classification
- power transformers
- fault detection and diagnosis
- rbf neural network
- cost sensitive
- multi sensor information fusion
- kernel function
- machine learning
- error correcting output codes
- support vector
- multi class boosting
- operating conditions
- k nearest neighbor
- feature vectors
- knn
- binary classifiers
- multiple classes
- analog circuits
- pairwise
- artificial intelligence
- genetic algorithm
- active learning
- evolutionary algorithm
- kernel methods