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Adaptive alarm processor for fault diagnosis on power transmission networks

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

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

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
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:18050
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

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