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Circuit breaker condition assessment through a fuzzy-probabilistic analysis of actuating coil's current

机译:通过对驱动线圈电流进行模糊概率分析来评估断路器状态

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摘要

Circuit breaker (CB) is a component providing significant electrical protection for power transmission and distribution systems. Hence, an effective condition monitoring system for the CBs is of imminent importance. This study presents a fuzzy-probabilistic-based condition assessment algorithm to assess the CB operation performance by monitoring its trip/close coil current (C.C.), and suggests a simple yet effective condition assessment tool. The C.C. patterns are acquired by measurements carried out on 60 CBs (72.5 kV, SF) under faulty and normal conditions. To intelligently assess the CB's operating state (i.e. normal, alarm and emergency), in terms of its reliability, the optimum C.C. features with minimum interdependence were obtained. Furthermore, a fuzzy-probabilistic method is proposed based on the results of the statistical analyses of the features. The feasibility and applicability of the proposed method in CB condition assessment is verified against the experimental measured data.
机译:断路器(CB)是为输配电系统提供重要电气保护的组件。因此,对于断路器来说,有效的状态监控系统至关重要。这项研究提出了一种基于模糊概率的状态评估算法,通过监视断路器的跳闸/闭合线圈电流(C.C.)来评估断路器的运行性能,并提出了一种简单而有效的状态评估工具。抄送通过在故障和正常条件下在60个CB(72.5 kV,SF)上执行的测量来获取模式。为了智能地评估CB的运行状态(即正常,警报和紧急情况),在可靠性方面考虑了最佳C.C.获得具有最小相互依赖性的特征。此外,基于特征的统计分析结果,提出了一种模糊概率方法。通过实验测得的数据,验证了该方法在CB状态评估中的可行性和适用性。

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