Negative-selection algorithm based approach for fault diagnosis of rotary machinery.
Shulin LiuJiazhong ZhangWengang ShiWenhu HuangPublished in: ACC (2002)
Keyphrases
- fault diagnosis
- negative selection algorithm
- anomaly detection
- expert systems
- neural network
- fault detection and diagnosis
- fault detection
- fuzzy logic
- monitoring and fault diagnosis
- condition monitoring
- multi sensor information fusion
- chemical process
- multiple faults
- maximum entropy model
- power transformers
- operating conditions
- electronic equipment
- gas turbine
- rotating machinery
- analog circuits
- clonal selection algorithm
- artificial intelligence
- power plant
- swarm intelligence
- steady state
- simulated annealing
- tennessee eastman
- feature extraction