基于粗糙集信号增强的小波变换故障选线方法

2011 1st International Conference on Electric Power Equipment - Switching Technology Pub Date : 2011-10-01 DOI:10.1109/ICEPE-ST.2011.6123000

Lingling Li, S. Huang, FengQiang Li, Hua Li, Huijuan Zhang

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引用次数: 1

摘要

小波变换理论是处理小电流接地系统暂态信息的有效方法。但是采样频率的限制会导致零序电流的信息丢失。粗糙集具有很强的知识发现和数据挖掘能力。它可以增强零序电流，克服小波选线方法的有界性。MATLAB仿真结果表明，通过粗集预处理，提高了小波选线方法的精度。

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The wavelets transformation fault line selection method based on rough sets signal enhancement

The wavelets transformation theory is a powerful way to process transient information in small current grounding system. But the limitation of sampling frequency may lead the information dropout of zero-sequence-current. Rough set has great abilities of knowledge discovery and data mining. It can enhance zero-sequence-current and overcome the boundedness of wavelets fault line selection method. The MATLAB simulation results proved through the preproceses by rough set, the accuracy of the wavelets fault line selection method was improved.

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2011 1st International Conference on Electric Power Equipment - Switching Technology

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