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

机译:基于粗糙集信号增强的小波变换故障线选择方法

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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.
机译:小波变换理论是在小电流接地系统中处理瞬态信息的有效方法。但是采样频率的限制可能导致零序电流信息的丢失。粗糙集具有强大的知识发现和数据挖掘能力。它可以增强零序电流,克服了小波故障选线方法的局限性。通过粗糙集的预过程证明了MATLAB仿真结果,提高了小波故障选线方法的准确性。

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