An artificial intelligence system for a complex electromagnetic field problem. II. Method implementation and performance analysis

IF 1.9 3区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Magnetics Pub Date : 1900-01-01 DOI:10.1109/20.737476
K. J. Satsios, D. Labridis, P. Dokopoulos
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引用次数: 13

Abstract

For pt. I see ibid., vol. 35, no. 1, p. 516-22 (1999). An artificial intelligence system has been developed to determine the electromagnetic field in the complex problem of a faulty overhead transmission line above earth and a buried pipeline. The amplitude and phase of the magnetic vector potential (MVP) in the earth around the pipeline neighborhood, including the pipeline itself, are calculated, The performance of the trained fuzzy logic system (FLS) described in Part I was tested extensively for various configurations of the above electromagnetic field problem, differing significantly from the cases used for training. The trained FLS parameters required to calculate the electromagnetic field by simple formulas are also presented.
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复杂电磁场问题的人工智能系统。2方法实施和性能分析
见同上,第35卷,第3。1,第516-22页(1999)。开发了一种人工智能系统,用于确定地面架空输电线路故障和地下管线故障的复杂问题中的电磁场。计算了管道附近(包括管道本身)地球上磁矢量势(MVP)的幅值和相位。第一部分中描述的训练模糊逻辑系统(FLS)的性能在上述电磁场问题的各种配置下进行了广泛的测试,与用于训练的情况有很大不同。给出了用简单公式计算电磁场所需的训练后的FLS参数。
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来源期刊
IEEE Transactions on Magnetics
IEEE Transactions on Magnetics 工程技术-工程:电子与电气
CiteScore
4.00
自引率
14.30%
发文量
565
审稿时长
4.1 months
期刊介绍: Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The IEEE Transactions on Magnetics publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.
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