Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization.
Xiaoli ZhangWei ChenBaojian WangXuefeng ChenPublished in: Neurocomputing (2015)
Keyphrases
- parameter optimization
- rotating machinery
- fault diagnosis
- ant colony algorithm
- support vector machine
- feature selection
- bp neural network
- fault detection
- neural network
- expert systems
- genetic algorithm ga
- support vector
- global optimization
- genetic algorithm
- pid controller
- intelligent systems
- parameter settings
- condition monitoring
- fuzzy logic
- distribution network
- bp algorithm
- mathematical model
- rbf neural network
- knn
- machine learning
- support vector machine svm
- parameter estimation
- training data
- differential evolution
- feature space
- feature extraction
- ant colony optimization
- real time