近似熵算法在电力系统故障信号分析中的应用  

Application of Approximate Entropy to Fault Signal Analysis in Electric Power System

作　　者：符玲[1] 何正友[1] 麦瑞坤[1] 钱清泉[1] 

机构地区：[1]西南交通大学电气工程学院,四川省成都市610031

出　　处：《中国电机工程学报》2008年第28期68-73,共6页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50407009);四川省杰出青年基金项目(06ZQ026-012)~~

摘　　要：在分析近似熵算法的物理本质及其在非平稳信号序列分析中所具备的独特优势的基础上,提出将近似熵算法引入到电力系统故障信号的特征提取中,为电力系统故障信号分析找到一个能定量描述故障信号特征的有效特征参数。通过对理想电力信号的仿真分析数据以及近似熵与信息熵的比较,逐一验证了近似熵算法在电力信号分析中的优势。近似熵算法在小电流接地系统故障信号特征提取仿真中的应用表明,该算法能够在短数据、小幅值等不利条件下,很好地实现故障信号特征的定量提取,是表征不同故障信息的有效参数,故将其引入到电力系统故障信号的分析应用中是切实可行的,并在此基础上展望了该算法在电力系统故障诊断领域的应用前景。With the research of approximate entropy and its essence, it shows that approximate entropy has predominance in analysis of non-stationary random signals. A novel feature extraction method is proposed, and a new and effective feature parameter is provided to describe faulty signals efficiently. The analysis of ideal power signals with approximate entropy and the comparison between approximate entropy and information entropy testify the predominance of approximate entropy in power signal analysis. Simulations of its application to feature extraction of non-solid earthed network prove that approximate entropy can well realize the feature extraction of power faulty signals under the condition of short time-series, small magnitude and so on. Therefore, it is feasible to put the effective feature parameter into the use of power faulty signal analysis. Moreover, the prospect of approximate entropy＇s application to power fault diagnosis has been forecasted.

关 键 词：近似熵 电力系统 故障诊断 特征提取 有效特征参数 

分 类 号：TM76[电气工程—电力系统及自动化]