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Pattern directed inference system for fault classification and analysis

Swarup, KS and Chandrasekharaiah, HS (1990) Pattern directed inference system for fault classification and analysis. In: VI NPSC 90. Power Systems for the Year 2000 and Beyond. Proceedings of the Sixth National Power Systems Conference, 4-7 June 1990, Bombay, India, pp. 145-150.

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Pattern directed inference systems (PDISs) are programs similar to rule based systems that look for interesting or important situations occurring as patterns in their input or memory data. An artificial intelligence approach to pattern recognition involves the description of abstract concepts and the recognition of instances of these in signals. Each concept is represented by several hierarchical levels of abstraction, where knowledge appropriate to a particular level is used to identify components at a higher level concept. The use of pattern recognition to problem solving has been advocated to a variety of problems including diagnosis. Fault classification and diagnosis of thyristor power converter systems using PDIS is discussed in this paper and a case study described in detail

Item Type: Conference Paper
Publisher: Tata McGraw-Hill
Additional Information: Copyright of this article belongs to Tata McGraw-Hill.
Department/Centre: Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Date Deposited: 31 Jul 2007
Last Modified: 25 Jan 2012 06:00
URI: http://eprints.iisc.ac.in/id/eprint/11481

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