Title: An AI interpretation of the voting technique for the diagnosis of faults in systems

Authors: H. Sriyananda

Addresses: Department of Electrical Engineering, The Open University of Sri Lanka, Sri Lanka

Abstract: This paper attempts to present a particular class of methods that has been proposed for the diagnosis of faults - those methods that are based on the voting technique - in a new form, interpreting their methodology in the conceptual framework of artificial intelligence work. It is expected that this representation will provide new insights into the reasoning intrinsic to these methods.

Keywords: artificial intelligence; AI; fault diagnosis; knowledge representation; voting technique; logic; pattern recognition.

DOI: 10.1504/IJCAT.1989.062658

International Journal of Computer Applications in Technology, 1989 Vol.2 No.2, pp.127 - 130

Published online: 11 Jun 2014 *

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