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Detection and classification of power quality events by expert system using analytic hierarchy method

机译:专家系统使用层次分析法对电能质量事件进行检测和分类

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摘要

The classification of various power quality events during the integration of renewable energy sources were proposed in this article. This approach provides a data mining tool linear discrimination analysis for the feature extraction in the expert system where an analytical hierarchy process is used in the knowledge base with the various levels of power quality events. Based on the hierarchy levels the data were compared using the group data handling method and thus the power quality events were classified. To validate the results a real time sample data were used. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文提出了可再生能源整合过程中各种电能质量事件的分类。这种方法为专家系统中的特征提取提供了一种数据挖掘工具线性判别分析,其中在知识库中使用具有不同级别电能质量事件的分析层次结构过程。基于层次结构级别,使用组数据处理方法对数据进行比较,从而对电能质量事件进行分类。为了验证结果,使用了实时样本数据。 (C)2018 Elsevier B.V.保留所有权利。

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