摘要
电弧故障作为飞机上人员生命和财产的最大威胁,被认定是几起飞机空难的起因。由于飞行中的振动,电弧故障一般是间歇的,在地面条件下难以复现。针对飞机电弧故障检测困难的问题,总结了现有的飞机线路系统中电弧故障检测技术,将电弧故障检测方法归纳为机械方法和电气方法,概述了基于自适应技术、Kalman滤波、碎片理论、神经网络、模糊逻辑推理和专家系统等新算法,提出了理想的电弧故障检测方法所具备的特征,最后探讨了电弧故障检测未来的发展方向。
Arc faults have been identified as one of the greatest threats to human lives and properties,and the likely cause of several aircraft disasters. With the introduction of high voltage transmission in aircraft to meet the increasing power demands,the probability of initiating and sustaining continuous arcs in modern aircraft have been increased. However,arc faults are hard to detect because arc faults are normally intermittent as a result of the in-flight vibration. Arc fault detection methods can be categorized into mechanical and electrical methods,and algorithms have been developed based on adaptive techniques,Kalman filter,fractal theory,neural networks,fuzzy logic reasoning,and expert systems to enhance arc fault detection. This paper provides an overview of modern technology and a discussion of further development in the area of arc fault detection.
作者
王希彬
戴洪德
肖楚琬
赵志坚
WANG Xibin;DAI Hongde;XIAO Chuwan;ZHAO Zhijian(School of Basic Science for Aviation,Naval Aviation University,Yantai 264001,China;School of Combat Service for Aviation,Naval Aviation University,Yantai 264001,China)
出处
《系统仿真技术》
2020年第3期195-201,共7页
System Simulation Technology
基金
工信部民用飞机专项项目(MJ-2018-J-75)
关键词
电气线路互联系统
电弧故障检测
时域法
频域法
小波变换
electrical wiring interconnection systems(EWIS)
arc fault detection
time-domain method
frequency-domain method
wavelet transformation
作者简介
王希彬,男(1985-),山东青州人,讲师,博士,主要研究方向为飞机电气系统。
