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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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.