基于Levene检验的航空交流串联电弧故障检测

doi:10.19595/j.cnki.1000-6753.tces.200398

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摘要航空电弧故障直接影响着航空飞行的安全,这一问题越来越受到重视,其中,交流串联电弧故障更隐蔽,造成的危害更大。该文基于航空115V/400Hz交流系统开展串联电弧故障模拟实验,并对检测方法进行了研究,鉴于目前统计学方法的局限性,提出用Levene检验对实验电流信号进行分析并提取特征量。Levene检验是分析两组及以上数据的方差齐性,从而找到正常和电弧故障情况的明显差异,与常见统计学方法峭度、偏态指标和相关系数利用粒子群算法优化的支持向量机进行识别准确率测试。结果表明,该方法的效率高于其他三种,并采用测试负载验证了其有效性。由此,在识别航空串联电弧故障时,Levene检验方法有较好的实时性和适用性,易于设定阈值,具有重要的工程应用价值。

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关键词 ：串联电弧故障, Levene检验, 方差齐性, 粒子群算法优化的支持向量机

Abstract：Aviation arc faults directly affect the safety of aviation flight, which has attracted more and more attention. Among aviation arc faults, the series arc fault is more hidden and causes more harm. In this paper, based on the 115V/400Hz AC system, series arc fault simulation experiments are carried out and the detection method is studied. In view of the limitations of the current statistical method, Levene test is used to analyze the experimental current signal and extract the feature quantity by analyzing the variance homogeneity of two or more groups of data, so as to find the obvious difference between normal and arc fault conditions. Compared with the common statistical methods, Kurtosis, Skewness index and correlation coefficient are tested using support vector machine optimized by particle swarm optimization. The results show that the efficiency of this method is higher than the other three, and the effectiveness of the method is verified by the test load. Accordingly, Levene test method has better real-time and applicability in identifying the aviation series arc fault, and it is easy to set the threshold value, which has important engineering application value.

Key words： Series arc fault Levene test homogeneity of variance support vector machine for particle swarm optimization

收稿日期: 2020-04-20

PACS:

TM501

基金资助:河北省自然科学基金青年基金资助项目（E2016202106）

作者简介: 崔芮华女,1962年生,博士,教授,研究方向为电弧电接触。E-mail: 710667045@qq.com;佟德栓男,1995年生,硕士研究生,研究方向为电工装备可靠性理论及应用。E-mail: 1300543424@qq.com

引用本文:

崔芮华, 佟德栓. 基于Levene检验的航空交流串联电弧故障检测[J]. 电工技术学报, 2021, 36(14): 3034-3042. Cui Ruihua, Tong Deshuan. Aviation AC Series Arc Fault Detection Based on Levene Test. Transactions of China Electrotechnical Society, 2021, 36(14): 3034-3042.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.200398 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I14/3034

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