Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO.
Wenlong FuJiawen TanYanhe XuKai WangTie ChenPublished in: Entropy (2019)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- bp neural network
- condition monitoring
- differential evolution
- particle swarm optimization pso
- support vector machine svm
- mutation operator
- support vector
- particle swarm optimization
- genetic algorithm
- fitness function
- expert systems
- evolutionary algorithm
- fault detection
- genetic algorithm ga
- neural network
- pso algorithm
- fault detection and diagnosis
- vibration signal
- support vector machine
- particle swarm optimization algorithm
- power transformers
- operating conditions
- analog circuits
- gas turbine
- fuzzy logic
- multi objective
- optimization algorithm
- electronic equipment
- rotating machinery
- multi sensor information fusion
- particle swarm
- premature convergence
- hybrid algorithm
- kernel function
- chemical process
- feature selection
- pid controller
- rbf neural network
- convergence speed
- genetic programming
- machine learning
- bp algorithm
- global optimization
- fault identification
- artificial intelligence
- tennessee eastman