基于HHT的航空直流串行电弧特征提取方法

doi:10.7527/S1000-6893.2018.22404

电子电气工程与控制

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基于HHT的航空直流串行电弧特征提取方法

张瑶佳¹, 王莉¹, 尹振东¹, 高杨¹, 王帮亭²

1. 南京航空航天大学自动化学院, 南京 211100;
2. 上海飞机设计研究院电气系统设计研究部, 上海 201210

收稿日期:2018-06-01 修回日期:2018-07-16 出版日期:2019-01-15 发布日期:2018-09-17
通讯作者: 王莉 E-mail:liwang@nuaa.edu.cn
基金资助:
国家自然科学基金（51277093）

Characteristics extraction method of aviation DC serial arc fault based on HHT

ZHANG Yaojia¹, WANG Li¹, YIN Zhendong¹, GAO Yang¹, WANG Bangting²

1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China;
2. Electrical Systems Design and Research Division, Shanghai Aircraft Design and Research Institute, Shanghai 201210, China

Received:2018-06-01 Revised:2018-07-16 Online:2019-01-15 Published:2018-09-17
Supported by:
National Natural Science Foundation of China (51277093)

摘要/Abstract

摘要： 由于飞机内部布线空间有限、电弧故障存在发生时间地点随机以及特征不明显等问题，导致检测困难。本文基于航空270 V高压直流（HVDC）系统开展直流串行电弧故障特征提取方法研究，采用希尔伯特黄变换（HHT）提取电弧电流交流分量的时域和频域特征量。选择HHT的固有模态函数IMF5瞬时幅值的峰峰值和标准差作为识别电弧故障的时域特征，与原始信号中提取的时域特征量对比，正常和电弧特征量的区分度更大；选择HHT的固有模态函数IMF1+IMF2、一定频带范围内的瞬时幅值计算得到的谐波功率和作为区分正常和电弧情况的频域特征量。与常用的快速傅里叶变换（FFT）方法相比，HHT三维时频谱能够反映信号的局部特征，HHT方法计算得到的正常和电弧特征量之间的区分度更大，电弧和正常特征量的比值最高可达346。基于HHT的电弧故障特征提取方法能够更好地区分正常和电弧情况，有助于提高电弧故障的检测率，降低虚警率，具有重要的工程应用价值。

关键词: 高压直流系统, 串行电弧, 希尔伯特黄变换(HHT), 快速傅里叶变换(FFT), 故障检测率

Abstract: Due to the limited space inside the aircraft, the arbitrariness of the arc fault in time and space, and the nonobviousness of characteristics, it is difficult to detect the DC arc fault occurred in aircrafts. To solve the problem, this paper studies the characteristics extraction method of DC arc fault based on the aircraft 270 V High VoHage Direct Current (HVDC) system. The Hilbert-Huang Transform (HHT) is used to extract the time domain and frequency domain characteristics of current's AC component. The peak-to-peak value and standard deviation of the instantaneous amplitude of the IMF5 of HHT are selected as the time domain characteristics of the arc fault. Compared with the time domain characteristics of the original signal, the discrimination between the normal and the arc characteristic is more significant. The sum of harmonic power in a certain range, calculated by the IMF1+IMF2 is selected as the characteristic of frequency domain. Compared with the traditional FFT method, the time-frequency spectrum of HHT method can reflect the partial characteristics of the signal. The difference between the normal and arc characteristics calculated by the HHT method is more significant, and the ratio of the arc fault and the normal characteristics can be up to 346. The HHT method can better distinguish between normal and arc fault states, and improve the rate of arc fault detection and reduce the rate of false alarm, showing high values for engineering application.

Key words: HVDC, serial arc, Hilbert-Huang Transform(HHT), Fast Fourier Transform(FFT), fault detection rate

中图分类号:

V219
V271

张瑶佳, 王莉, 尹振东, 高杨, 王帮亭. 基于HHT的航空直流串行电弧特征提取方法[J]. 航空学报, 2019, 40(1): 522404-522404.

ZHANG Yaojia, WANG Li, YIN Zhendong, GAO Yang, WANG Bangting. Characteristics extraction method of aviation DC serial arc fault based on HHT[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(1): 522404-522404.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于HHT的航空直流串行电弧特征提取方法

Characteristics extraction method of aviation DC serial arc fault based on HHT

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