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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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

Received: 20 April 2020

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TM501

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	Cui Ruihua
	Tong Deshuan

Cite this article:

Cui Ruihua,Tong Deshuan. Aviation AC Series Arc Fault Detection Based on Levene Test[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 3034-3042.

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

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