Using Immunology Principles for Anomaly Detection in Electrical Systems
Adaptation and Self-Organizing Systems
2007-05-23 v1
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. Applications are being developed for electromechanical drives and network power transformers. Experimental results illustrate an application to fault detection in squirrel-cage electric motors.
Cite
@article{arxiv.nlin/0106027,
title = {Using Immunology Principles for Anomaly Detection in Electrical Systems},
author = {P. J. Costa Branco and J. A. Dente and R. Vilela Mendes},
journal= {arXiv preprint arXiv:nlin/0106027},
year = {2007}
}
Comments
27 pages Latex, 24 eps figures