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Kiernan, L. and Warwick, K. (1993) Adaptive alarm processor for fault diagnosis on power transmission networks. Intelligent Systems Engineering, 2 (1). pp. 25-37. ISSN 0963-9640
Abstract/Summary
The authors describe a learning classifier system (LCS) which employs genetic algorithms (GA) for adaptive online diagnosis of power transmission network faults. The system monitors switchgear indications produced by a transmission network, reporting fault diagnoses on any patterns indicative of faulted components. The system evaluates the accuracy of diagnoses via a fault simulator developed by National Grid Co. and adapts to reflect the current network topology by use of genetic algorithms.
| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/18050 |
| Item Type | Article |
| Refereed | Yes |
| Divisions | Science |
| Uncontrolled Keywords | National Grid Co. UK , adaptive alarm processor, adaptive online diagnosis, fault diagnoses, fault diagnosis, genetic algorithms, learning classifier system, network topology, power transmission network faults, switchgear indication monitoring |
| Download/View statistics | View download statistics for this item |
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