| Title |
Implementation of an Expert System to Supervise GIS Arrester Facilities |
| Authors |
Gyung-Suk Kil; Jae-Yong Song ; Il-Kwon Ki ; Seung-Bo Moon ; Jang-Woo Kwon |
| Keywords |
Diagnosis ; Expert System ; Lightning Arrester ; GIS Substation ; ZigBee ; JESS |
| 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 time, 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). |