期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 133, 期 -, 页码 87-92出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2015.11.041
关键词
Artificial neural networks; Electric field; Field meters; Measurements; Metal oxide surge arresters
Electric field values around metal oxide surge arresters is a very useful info that is used for issues related to the maximum field intensity in the arresters and for diagnostic tests related to the condition of the varistor and the existence of moisture or pollution on the insulation surface. The electric field around metal oxide surge arresters can be obtained either performing measurements using suitable equipment or through simulations using specialized software. An alternative to the existing methodologies for the calculation of surge arresters electric field is presenting in this paper using artificial neural networks (ANNs). A comparison in between the new method and the existing ones is performed in order to verify its accuracy. The developed ANN model can be a useful tool for electric utilities, laboratories and manufacturing companies dealing with medium voltage surge arresters that either face a lack of suitable measuring equipment or simulation software, or want to compare/verify their own measurements/calculations. (C) 2015 Elsevier BY. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据