电气工程学报 ›› 2017, Vol. 12 ›› Issue (1): 1-8.doi: 10.11985/2017.01.001

• •    下一篇

基于小波包技术和熵理论的航空故障电弧特征频段研究

崔芮华,王绍敏,刘骉   

  1. 1. 河北工业大学电磁场与电器可靠性省部共建重点实验室 天津 300387
    2. 河北工业大学电气工程学院电器研究所 天津 300387
  • 收稿日期:2016-03-31 出版日期:2017-01-25 发布日期:2019-11-26
  • 作者简介:崔芮华 女 1962年生,博士,教授,研究方向为电器CAD/CAM/CAE和电器的智能设计。|王绍敏 女 1988年生,硕士研究生,研究方向为电器可靠性及检测技术。
  • 基金资助:
    河北省自然科学基金青年基金项目(E2015202143);河北省教育厅青年基金项目(QN2014148)

Research on the Characteristic Frequency Band of Aviation Arc Fault Based on the Wavelet Packet and Entropy

Cui Ruihua,Wang Shaomin,Liu Biao   

  1. 1. Province Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology Tianjin 300387 China
    2. Electrical Engineering Institute of Hebei University of Technology Tianjin 300387 China
  • Received:2016-03-31 Online:2017-01-25 Published:2019-11-26

摘要:

针对航空交流系统串联型故障电弧电流信号频谱范围宽、检测困难的问题,提出了小波包理论、信息熵理论与傅里叶变换相结合提取故障电弧特征频段的方法。首先开展了不同类型负载线路的航空交流系统串联型故障电弧模拟试验。其次,利用小波包技术、奇异熵理论和负熵理论,选择最优的小波母函数和分解层数,并对发生故障电弧前后的电流信号进行特征频段的提取。然后,对比特征频段下故障电弧发生前后电流信号的间谐波特征。结果表明,特征频段上的间谐波特征比没有经过特征频段提取计算出的间谐波特征更有利于故障电弧的检测。

关键词: 故障电弧, 特征频段, 小波包, 信息熵, 间谐波

Abstract:

Aiming at the difficulties in measuring aviation series arc fault in AC system problems caused by wider spectrum range, a kind of analysis method of arc fault spectral characteristic was put forward by the combination of wavelet packet, information entropy and fast Fourier transform. Firstly, a series of arc fault simulation experiments of different loads in aviation AC system were carried out. Secondly, the best mother wavelet and decomposition level were chosen and characteristic band of the series arc fault current signal before and after arc burning was extracted by using wavelet packet technology, singularity entropy theory and negentropy theory. Finally, interharmonic feature of the arc fault current signal before and after arc burning was compared on characteristic band. The results showed that interharmonic feature in the characteridtic frequence band is more advantageous for the detection of arc fault than that over the entire frequency range.

Key words: Arc fault, frequency band, wavelet packet, information entropy, inter harmonic

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