Research on Fault Location of Aircraft Cable Based on Neural Network

Xudong Shi, Xiaolin Liu, Heyan Pei
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Abstract

Aircraft cable is the important part in modern aircraft which serves as the transmission medium of dynamic electric source, control signal and data information for control system, the aerial electronic system and so on. The fault diagnosis and location of the aircraft cable is the major task for the maintenance staff. The functional relationship between the physical parameters--the voltage and current of two-terminal and the fault location of aircraft cable is defined and a mathematical model of aircraft cable fault location is created based on the electric theory of distribution parameter circuit in this paper. A back propagation neural network is selected as the control algorithm because neural network can control nonlinear object effectually. An aircraft cable fault location system is designed and the simulation result shows that the system is rational and effective.
基于神经网络的飞机电缆故障定位研究
飞机电缆是现代飞机的重要组成部分,是控制系统、航空电子系统等的动态电源、控制信号和数据信息的传输介质。飞机电缆的故障诊断和定位是维修人员的主要任务。本文根据配电参数电路的电学理论,定义了两端电压、电流等物理参数与飞机电缆故障定位的函数关系,建立了飞机电缆故障定位的数学模型。由于神经网络可以有效地控制非线性对象,因此选择反向传播神经网络作为控制算法。设计了飞机电缆故障定位系统,仿真结果表明了该系统的合理性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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