Using Immunology Principles for Anomaly Detection in Electrical Systems

Details Using Immunology Principles for Anomaly Detection in Electrical Systems Using Immunology Principles for Anomaly Detection in Electrical Systems

2001-06-18

arxiv.org/abs/nlin/0106027v1

IEEE Transactions in Industrial Electronics 50 (2003) 362-373

Nonlinear Sciences

Adaptation and Self-Organizing Systems

27 pages Latex, 24 eps figures

Scientific paper

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.

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