Intelligent diagnosis for turbine blade faults using artificial neural networks and fuzzy logic

Engineering Applications of Artificial Intelligence

Volumn 8, Issue 1, 1995, Pages 25-34

  Kuo, R J ^a  

^a Kaohsiung Polytechnic Institute Taiwan   (Taiwan)

Author keywords

artificial neural networks; fuzzy logic; multi sensor integration; Turbine blade

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; ELECTRIC FAULT LOCATION; FEATURE EXTRACTION; FUZZY SETS; LEARNING SYSTEMS; ONLINE SYSTEMS; SENSORS; TURBINES; TURBOMACHINE BLADES;

MULTI SENSOR INTEGRATION; TRAINING PARAMETERS;

NEURAL NETWORKS;

EID: 0029254014     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(94)00082-X     Document Type: Article

References (24)

1. Neural net and traditional classifiers
2. Fuzzy sets
3. Vagueness. An Exercise in Logical Analysis
4. Derivation of fuzzy control rules from human operator's control actions
5. A survey of AI approaches to the integration of information
6. Multi-sensor integration using concurrent computing
7. Theoretical approaches to data association
8. Multisensor integration and fusion in intelligent systems
9. A neural architecture for evidence combination
10. The application of a neural network model to sensor data fusion
11. Multi sensor data fusion within hierarchical neural networks
12. Multi sensor data fusion within hierarchical neural networks
13. Neural network sensor fusion for tool condition monitoring
14. A multi-sensor fusion based intelligent robotic die polishing system using neural networks
15. Intelligent robotic die polishing system through fuzzy neural networks and multi-sensor fusion
16. Multi-sensor fusion based diagnosis for turbine blade faults via artificial neural networks
17. An introduction to computing with neural nets
18. A fuzzy neural networks technique with fast back propagation learning
19. Fuzzy parameter adaptation in neural systems
20. Fuzzy error backpropagation algorithm
21. Fuzzy parameter adaptation for error backpropagation algorithm
22. Fast convergence of error backpropagation algorithm through fuzzy modeling
23. Neural network driven fuzzy inference system