Using immunology principles for fault detection

Author

Branco, P. J Costa ; Dente, J.A. ; Mendes, R. Vilela

Author_Institution

Laboratorio de Mecatronica, Inst. Superior Tecnico, Lisbon, Portugal

Volume

50

Issue

2

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

362

Lastpage

373

Abstract

The immune system is a cognitive system of complexity comparable to the brain and its computational algorithms suggest new solutions to engineering problems or new ways of looking at these problems. Using immunological principles, a two- (or three-) module algorithm is developed which is capable of launching a specific response to an anomalous situation for diagnostic purposes. Experimental results concerning fault detection in an induction motor are presented as an example illustrating how the immune-based system operates, discussing its capabilities, drawbacks, and future developments.

Keywords

electric machine analysis computing; evolutionary computation; fault diagnosis; induction motors; machine testing; computational algorithms; diagnostic purposes; immune system; immunological principles; induction motor fault detection; learning systems; Biological information theory; Cloning; Electrical fault detection; Fault detection; Helium; Immune system; Induction motors; Learning systems; Power engineering and energy; Power engineering computing;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2003.809418

Filename

1191812