Negative-selection algorithm based approach for fault diagnosis of rotary machinery

Proceedings of the American Control Conference

Volumn 5, Issue , 2002, Pages 3955-3960

  Liu, Shulin ^a,b   Zhang, Jiazhong ^b   Shi, Wengang ^b   Huang, Wenhu ^b  

^a NORTHEAST PETROLEUM UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Immune system; Improved algorithm; Negative selection algorithm; Rotary machinery

Indexed keywords

BIOCHEMISTRY; EXPERT SYSTEMS; FAULT TREE ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SYSTEMS; RELIABILITY; ROTATING MACHINERY;

FAULT DIAGNOSIS; IMMUNE SYSTEM; NEGATIVE-SELECTION ALGORITHM;

ALGORITHMS;

EID: 0036058959     PISSN: 07431619     EISSN: None     Source Type: Journal    
DOI: 10.1109/ACC.2002.1024547     Document Type: Article

References (8)

1. Fault diagnosis in gas turbines using a model-based technique
2. Expert system based diagnosis of turbo-machinery
3. Application of the reliability theory to fault diagnosis of turbine-generator sets
4. Rotary machinery fault diagnosis based on BP neural network
5. Immunity-based systems: A survey
6. Toward a network theory of the immune system
7. Self-nonself discrimination in a computer
8. Artificial immune systems in industry applications