摘要
电火花机床工况下的用电负荷是电网中带有突变性质的电能形式之一,提取其突变特性是研究这类电能特性的重要问题。文章采用不同小波基函数、阀值对电火花用电负荷特性进行去噪处理,并提出一种基于S变换的脉冲电能质量突变信息识别方法。分析结果表明,该方法提取准确率高。
The load of electro discharge machining（ EDM） is a kind of electrical signal,which is not varying in sinusoidal waveform and accompanying mutation. It is important to study the feature information. This paper proposes a method to study the de-noise processing of the electricity load characteristics of EDM by choosing various wavelet basis functions and threshold value,and proposes a new approach to detect and classify power quality disturbances by combining with the S-transform. The results show that the method can improve the accuracy of signal extraction.
出处
《电测与仪表》
北大核心
2016年第15期63-67,共5页
Electrical Measurement & Instrumentation
基金
国家高技术研究发展计划(863计划)项目(2014AA052003)
