Fault Feature Selection Based on Modified Binary PSO with Mutation and Its Application in Chemical Process Fault Diagnosis.
Ling WangJinshou YuPublished in: ICNC (3) (2005)
Keyphrases
- chemical process
- fault diagnosis
- feature selection
- tennessee eastman
- binary pso
- fault detection
- particle swarm optimization pso
- differential evolution
- genetic algorithm
- fault detection and diagnosis
- global search
- expert systems
- bp neural network
- operating conditions
- multiple faults
- evolutionary algorithm
- neural network
- fuzzy logic
- fault detection and isolation
- power transformers
- genetic algorithm ga
- electronic equipment
- gas turbine
- multi sensor information fusion
- monitoring and fault diagnosis
- condition monitoring
- artificial neural networks
- mutation operator
- power plant
- rotating machinery
- analog circuits
- fault identification
- support vector
- steam turbine
- fitness function
- feature extraction
- global optimization