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An expert system for fault section diagnosis of power systems using fuzzy relations

机译:基于模糊关系的电力系统故障区间诊断专家系统

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This paper proposes an expert system using fuzzy relations to deal with uncertainties imposed on fault section diagnoses of power systems. The authors build sagittal diagrams which represent the fuzzy relations for power systems, and diagnose fault sections using the sagittal diagrams. Next, they examine the malfunction or false alarms of relays and circuit breakers based on the alarm information and the estimated fault section. The proposed system provides the fault section candidates in terms of the degree of membership and the malfunction or false alarm. An operator monitors these candidates and is able to diagnose the fault section, coping with uncertainties. Experimental studies for real power systems reveal the usefulness of the proposed technique to diagnose faults that have uncertainty.
机译:提出了一种利用模糊关系处理电力系统故障区间诊断中的不确定性的专家系统。作者建立了表示电力系统模糊关系的矢状图,并使用矢状图诊断故障部分。接下来,他们根据警报信息和估计的故障区域检查继电器和断路器的故障或误报。所提出的系统根据隶属程度和故障或误报为故障部分提供候选。操作员监视这些候选对象,并能够解决不确定性,从而诊断故障部分。对实际电力系统的实验研究表明,该技术可用于诊断具有不确定性的故障。

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