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Methods to Estimate Electric Field Stress Ratios within Water Tree Structures in Polymeric Cables

机译:估计聚合物电缆水树结构内电场应力比的方法

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摘要

Water treeing is a phenomenon whereby the polymeric cable suffers serious degradation under combined stresses of electrical, thermal and chemical, thus shortening the lifespan of the cable. A high electrical field stress present at the tip of a water tree structure would degrade the surrounding healthy polymeric insulation, leading to electrical treeing and subsequent breakdown of the water tree affected polymeric cable. This paper aims at proposing methods to estimate the electric field stress ratios of water tree structures present in the insulation of water tree affected polymeric cables. The capacitances and lengths of water tree structures present the insulation were measured in water tree affected polymeric samples over a period. The measured data were then used in the proposed methodology to estimate the maximum electric field stress ratios present at the tips of the water tree structures, using electrostatic finite element software. A database of the electric field stress ratios was compiled and subsequently fed into the neural network's back propagation process. With the optimisation of weights in the neural network's back propagation process, an averaged error of less than 5% was found. This newly developed intelligent system provides a simple, time saving and practical way of obtaining electric field ratios.
机译:水树是一种现象,即聚合物电缆在电气,热和化学的组合应力下遭受严重降解,从而缩短了电缆的寿命。存在于水树结构尖端的高电场应力会降低周围的健康聚合物绝缘,导致电动树木和随后的水树部受影响的聚合物电缆进行分解。本文旨在提出估计水树绝缘材料中存在的水树结构的电场应力比的方法。水树结构的电容和长度在水树中测量了绝缘层,在水上树上测量了一段时间内的聚合物样品。然后在所提出的方法中使用测量的数据来估计使用静电有限元件软件来估计水树结构尖端的最大电场应力比。编译电场应力比的数据库,随后馈入神经网络的后传播过程。随着神经网络的后传播过程中重量的优化,发现了小于5%的平均误差。这种新开发的智能系统提供了一种简单,节省时间和实用的获得电场比率。

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