兵工自动化2024，Vol.43Issue(9)：49-54,6.DOI:10.7690/bgzdh.2024.09.013
基于Schavemaker模型和小波分析的航空EWIS故障电弧检测技术
Fault Arc Detection Technology for Aviation EWIS Based on Schavemaker Model and Wavelet Analysis
摘要
Abstract
Aiming at the problem of fault arc detection in aviation line system,based on the analysis of the causes and basic characteristics of fault arc,a fault arc detection algorithm based on wavelet analysis is designed.This paper analyzes the AC series arc fault circuit based on Schavemaker arc model,uses sym5 wavelet to decompose the fault arc current data,extracts the high frequency part of the current,and proposes a fault arc detection method based on the d3 standard deviation of the high frequency component,and simulates the algorithm based on Simulink.The simulation results show that the proposed method has a higher degree of discrimination than the traditional method of directly setting the threshold after wavelet decomposition,and can quickly and accurately determine the existence of fault arc,which provides a useful reference for engineering practice.关键词
故障电弧/故障电弧检测/电弧模型/小波分析/波动率Key words
fault arc/fault arc detection/arc model/wavelet analysis/fluctuation rate分类
航空航天引用本文复制引用
张志亮,王希彬,贾临生,戴洪德..基于Schavemaker模型和小波分析的航空EWIS故障电弧检测技术[J].兵工自动化,2024,43(9):49-54,6.基金项目
国防科技项目基金(F062102009) （F062102009）
山东省高等学校青年创新团队(2020KJN003) （2020KJN003）
