Fault Diagnosis for Distribution Feeder Base on Fuzzy Logic

机译：模糊逻辑上的分配馈线故障诊断

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Changes in the increased energy demand of the community cause a disturbance flow to the substation feeder. This paper describes fault diagnosis result in feeder distribution using soft computing approach namely, fuzzy logic. Fault diagnosis study is done by processing the data flow disturbance and the location of the disturbance point on the substation. The data used as learning input on fuzzy logic. The test results show that Fuzzy Rule-Based has a good accuracy level in indicating the type of fault current, but the accuracy level decreases when indicating the location of the fault current.

机译：群落的能量需求增加的变化导致变电站饲养器的干扰。本文介绍了使用软计算方法的馈电分布的故障诊断即，模糊逻辑。故障诊断研究是通过处理数据流干扰和变电站干扰点的位置来完成的。用作模糊逻辑的学习输入的数据。测试结果表明，基于模糊规则的良好精度水平在指示故障电流的类型时，但在指示故障电流的位置时，精度级别会降低。

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《Annual Applied Science and Engineering Conference》|2018年|541 p.|共10页
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A Nugroho; Y Mulyadi; A G Abdullah;
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中图分类工程材料学;
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机译：基于模糊逻辑的机械故障自动检测与诊断

Fault Diagnosis for Distribution Feeder Base on Fuzzy Logic

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