Adaptive alarm processor for fault diagnosis on power transmission networksKiernan, 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: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... Abstract/SummaryThe 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.
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