Accessibility navigation

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

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Official URL:


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
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

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation