聚合物电缆水树结构中电场应力比的估算方法

S. Sulaiman, I. Abidin
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引用次数: 0

摘要

水树现象是聚合物电缆在电、热、化学综合应力作用下发生严重退化,从而缩短电缆使用寿命的现象。水树结构顶端存在的高电场应力会降低周围健康的聚合物绝缘,导致电树和随后受水树影响的聚合物电缆的击穿。本文旨在提出估算受水树影响的聚合物电缆绝缘中存在的水树结构的电场应力比的方法。在受水树影响的聚合物样品中测量了一段时间内呈现绝缘的水树结构的电容和长度。然后使用静电有限元软件将测量数据用于所提出的方法中,以估计水树结构尖端存在的最大电场应力比。建立电场应力比数据库,并将其输入到神经网络的反向传播过程中。通过对神经网络反向传播过程中权值的优化,使神经网络的平均误差小于5%。这种新开发的智能系统提供了一种简单、省时、实用的获取电场比的方法。
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Methods to estimate electric field stress ratios within water tree structures in polymeric cables
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.
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