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http://dx.doi.org/10.5207/JIEIE.2007.21.1.075

Implementation of on Expert System to Supervise GIS Arrester Facilities  

Kil, Gyung-Suk (한국해양대학교 전기전자공학부)
Song, Jae-Yong (한국해양대학교 산업기술연구소)
Kim, Il-Kwon (한국해양대학교 대학원 전기공학과)
Moon, Seung-Bo (한국해양대학교 대학원)
Kwon, Jang-Woo (동명대학교 컴퓨터공학과)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.21, no.1, 2007 , pp. 75-81 More about this Journal
Abstract
This paper dealt with the design and implementation of an expert system to monitor and diagnose the lightning arresters in GIS substations. The expert system consists of a data acquisition module(DAM) based on microprocessor and diagnostic algorithms. The DAM measures and analyzes several parameters necessary for the arrester diagnosis such as system voltages, leakage current components, and temperatures. Also, it includes an intelligent surge counter which can record the date and tin, the polarity, and the amplitude of surge currents. All the data acquired is transmitted to a remote computer by a low rate wireless network specified in IEEE 802.15.4 to avoid electromagnetic intereference under high voltage and large current environments. The decision-making for the arrester diagnosis completes with a Java Expert System Shell(JESS) which is composed of a knowledge base, an inference engine and a graphic user interface(GUI).
Keywords
Diagnosis; Expert System; Lightning Arrester; GIS Substation; ZigBee; JESS;
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