A New approach of preprocessing with SVM optimization based on PSO for bearing fault diagnosis.
Tawfik ThelaidjiaSalah ChenikherPublished in: HIS (2013)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- bp neural network
- preprocessing
- optimization algorithm
- neural network
- fault detection
- expert systems
- support vector
- particle swarm
- global optimization
- fuzzy logic
- support vector machine svm
- rbf neural network
- particle swarm optimization
- fault detection and diagnosis
- particle swarm optimization pso
- multi objective
- operating conditions
- condition monitoring
- optimization method
- particle swarm optimization algorithm
- support vector machine
- power transformers
- gas turbine
- electronic equipment
- multiple faults
- industrial systems
- bp algorithm
- rotating machinery
- machine learning
- power plant
- chemical process
- fault identification
- analog circuits
- pso algorithm
- kernel function
- fault detection and isolation
- feature selection
- hybrid algorithm
- differential evolution
- fitness function
- back propagation
- evolutionary algorithm
- feature extraction