A comparative study of genetic algorithm parameters for the inverse problem-based fault diagnosis of liquid rocket propulsion systems.
Erfu YangHongjun XiangDongbing GuZhenpeng ZhangPublished in: Int. J. Autom. Comput. (2007)
Keyphrases
- fault diagnosis
- genetic algorithm
- expert systems
- operating conditions
- fuzzy logic
- neural network
- gas turbine
- electrical power systems
- fault detection
- fault detection and diagnosis
- rbf neural network
- complex systems
- multiple faults
- bp neural network
- failure diagnosis
- knowledge base
- industrial systems
- intelligent systems
- condition monitoring
- denoising
- power system
- ant colony algorithm
- computational intelligence
- chemical process
- electronic equipment
- fault tree
- decision making
- monitoring and fault diagnosis
- multi sensor information fusion