DocumentCode :
1744184
Title :
Fault detection using immune-based systems and formal language algorithms
Author :
Martins, J.F. ; Branco, P. J Costa ; Pires, A.J. ; Dente, J.A.
Author_Institution :
Escola Superior de Tecnologia, Inst. Politecnico de Setubal, Portugal
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
2633
Abstract :
This paper describes two approaches for fault detection: an immune-based mechanism and a formal language algorithm. The first one is based on the feature of immune systems in distinguish any foreign cell from the body´s own cell. The formal language approach assumes the system as a linguistic source capable of generating a certain language, characterised by a grammar. Each algorithm has particular characteristics, which are analysed in the paper, namely in what cases they can be used with advantage. To test their practicality, both approaches were applied on the problem of fault detection in an induction motor
Keywords :
engineering computing; fault diagnosis; formal languages; grammars; induction motors; fault detection; formal language; grammar; immune-based systems; induction motor; Algorithm design and analysis; Character generation; Detectors; Fault detection; Formal languages; Immune system; Induction generators; Laboratories; Pattern matching; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
ISSN :
0191-2216
Print_ISBN :
0-7803-6638-7
Type :
conf
DOI :
10.1109/CDC.2000.914202
Filename :
914202
Link To Document :
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