Using Immunology Principles for Anomaly Detection in Electrical Systems
| dc.creator | Branco, P. J. Costa | |
| dc.creator | Dente, J. A. | |
| dc.creator | Mendes, R. Vilela | |
| dc.date | 2001-06-18 | |
| dc.date.accessioned | 2026-07-07T05:33:33Z | |
| dc.date.available | 2026-07-07T05:33:33Z | |
| dc.description | 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. | |
| dc.description | 27 pages Latex, 24 eps figures | |
| dc.identifier | https://arxiv.org/abs/nlin/0106027 | |
| dc.identifier | http://arxiv.org/abs/nlin/0106027 | |
| dc.identifier | IEEE Transactions in Industrial Electronics 50 (2003) 362-373 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/80034 | |
| dc.subject | Adaptation and Self-Organizing Systems | |
| dc.title | Using Immunology Principles for Anomaly Detection in Electrical Systems | |
| dc.type | text |