融合盲均衡与形态学的矿用电缆PD信号降噪方法  

Mine power cables PD signal denoising method based on fusing blind equalization and morphology

作　　者：马星河[1] 马利[1] 周涛 汪旭东[1] 

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454000 [2]中国平煤神马集团能源化工研究院,河南平顶山467000

出　　处：《河南理工大学学报（自然科学版）》2016年第2期242-247,共6页Journal of Henan Polytechnic University（Natural Science）

基　　金：国家自然基金资助项目(U1404522)

摘　　要：针对矿用高压电缆的绝缘在线监测系统中,提取的局部放电(PD)信号很容易被各种噪声和干扰所覆盖,对监测系统的准确性带来很大的影响,提出了一种基于特征向量算法的改进盲均衡(BE)和自动形态学阈值(AMT)相融合的降噪方法。首先通过盲均衡自动选择一个平衡信号揭示PD脉冲,然后AMT根据均衡信号确定阈值,从而达到降噪的目的。通过实验室与现场实际测试,结果表明,通过使用所提出的方法,可以在受严重噪声污染的信号中有效提取PD脉冲,并尽可能地保存了信号的完整性。The extracted partial discharge（ PD） signal is easy to be covered by all kinds of noise and interference in the insulation condition of mine high voltage cable online monitoring system and has a great impact on the accuracy of the monitoring system. An algorithm is put forward based on feature vector,which integrates improved automatic blind equalization（ BE） and automatic morphological threshold（ AMT） methods for noise reduction. A balance signal is chosen to reveal the PD pulse by automatic blind equalization method firstly,and then AMT to determine the threshold according to the balanced signal,so,the purpose of noise reduction is achieved. Through the laboratory and field practical tests,the results show that the proposed method is efficient and saves signal integrity as far as possible for extracting PD signals in severe noise pollution signals.

关 键 词：盲均衡 自动形态学阈值 特征向量算法 降噪方法 

分 类 号：TM273[一般工业技术—材料科学与工程]