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Fuzzy expert system for metal-oxide surge arrester condition monitoring
Electrical Engineering ( IF 1.8 ) Pub Date : 2020-07-21 , DOI: 10.1007/s00202-020-01061-z
Goran Dobrić , Mileta Žarković

Metal-oxide surge arresters (MOSAs) play an important role in preventing outage situations and thus in preserving the reliability of electric power system. So far, many MOSA monitoring methods have been developed. These methods propose different indicators that are more or less reliable in MOSA monitoring and diagnostics. Another important aspect of these indicators is that each one of them can be determined with a certain estimation error. None of the indicators has been proved to be supreme. Nevertheless, under different conditions, the reliability of these indicators may vary. This paper presents an analysis methodology for reliability of MOSA indicators and proposes a fuzzy logic expert system that overcomes the problem of decision-making in the case when more than one indicator is available. The analysis and verification are done by computer simulations.

中文翻译:

金属氧化物避雷器状态监测模糊专家系统

金属氧化物避雷器 (MOSA) 在防止断电情况并因此在保持电力系统可靠性方面发挥着重要作用。到目前为止,已经开发了许多MOSA监测方法。这些方法提出了在 MOSA 监测和诊断中或多或少可靠的不同指标。这些指标的另一个重要方面是它们中的每一个都可以通过一定的估计误差来确定。没有一个指标被证明是最高的。然而,在不同的条件下,这些指标的可靠性可能会有所不同。本文提出了一种 MOSA 指标可靠性的分析方法,并提出了一种模糊逻辑专家系统,该系统克服了在多个指标可用的情况下的决策问题。
更新日期:2020-07-21
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