The Investigation of Fault Diagnosis Based on GA-HPSO-NN.
Bin PengChang-an HuRong-zhen ZhaoYu-qiao ZhengPublished in: J. Comput. (2012)
Keyphrases
- fault diagnosis
- hybrid particle swarm optimization
- neural network
- genetic algorithm ga
- particle swarm optimization pso
- premature convergence
- hybrid algorithm
- particle swarm optimisation
- bp neural network
- rbf neural network
- bp algorithm
- data clustering
- particle swarm
- simulated annealing
- fuzzy logic
- fault detection
- particle swarm optimization
- expert systems
- genetic algorithm
- swarm intelligence
- pso algorithm
- fitness function
- artificial neural networks
- gas turbine
- electronic equipment
- operating conditions
- fault detection and diagnosis
- nature inspired
- medical image registration
- analog circuits
- back propagation
- chemical process
- differential evolution
- spatial clustering with obstacles constraints
- neural network model
- monitoring and fault diagnosis
- multiple faults
- crossover operator
- power transformers
- parameter settings
- optimization method
- knn
- evolutionary algorithm
- artificial intelligence
- search capabilities
- ant colony algorithm
- multilayer perceptron
- ant colony optimization
- multi sensor information fusion
- standard pso
- optimisation problems
- multiresolution