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Fuzzy probabilistic expert system for overhead conductor assessment and replacement

机译:用于架空导线评估和替换的模糊概率专家系统

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This paper introduces analytical models for accurate prediction of failure probabilities of existing conductors and recommends the optimum time window for conductor replacement at an acceptable failure threshold. The tensile failure probability is determined by solving the limit state equation of the corroded conductor subjected to environmental loading such as wind and ice using Monte Carlo simulations. The failure due to fretting fatigue caused by aeolian vibrations is accounted for using a fuzzy expert system. The results of the Monte Carlo simulations and the fuzzy expert system are then merged to determine the optimum time window for conductor replacement. Comparison of the model prediction and field data collected using LineVue™ show that the proposed models and expert system can accurately predict the replacement window of the conductors and shield wires.
机译:本文介绍了用于准确预测现有导体故障概率的分析模型,并建议了在可接受的故障阈值下更换导体的最佳时间窗口。拉伸破坏概率是通过使用蒙特卡洛模拟求解受环境载荷(例如风和冰)腐蚀的导体的极限状态方程来确定的。由风振引起的微动疲劳导致的故障是使用模糊专家系统解决的。然后将蒙特卡洛模拟的结果和模糊专家系统合并,以确定导体更换的最佳时间窗口。通过使用LineVue™收集的模型预测结果和现场数据的比较表明,所提出的模型和专家系统可以准确预测导体和屏蔽线的替换窗口。

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