The intelligent BIT design of aviation integrated computer system based on improved BP neural network

Long Shi, Wenkui Hou, Junyou Shi, Hongmei Liu
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引用次数: 1

Abstract

In this paper, aiming at some difficulties such as in-flight fault detection and fault isolation of aviation integrated computer system for its complex structure and function, an intelligent BIT design method of aviation integrated computer system, which combining integrated BIT and information-enhanced BIT, has been given after analyzing the research content and development of intelligent BIT. The improved BP neural network has been introduced and the algorithm is applied to the intelligent BIT design. The power process module of aviation computer system is taken as an example for MATLAB simulation. Availability of the intelligent BIT method based on improved BP neural network is partly verified by the simulation result. The insufficient of traditional BIT's fault diagnostics ability is overcome, which leads to high false alarm rate. The intelligent BIT design improves the testability and the capability of fault diagnostics and has strong practical value.
基于改进BP神经网络的航空综合计算机系统智能BIT设计
本文针对航空综合计算机系统结构和功能复杂,存在飞行中故障检测和故障隔离等困难,在分析了航空综合计算机系统智能BIT的研究内容和发展趋势后,提出了集成BIT与信息增强BIT相结合的航空综合计算机系统智能BIT设计方法。介绍了改进的BP神经网络算法,并将其应用于智能BIT的设计中。以航空计算机系统电源处理模块为例,进行了MATLAB仿真。仿真结果部分验证了基于改进BP神经网络的智能BIT方法的有效性。克服了传统BIT故障诊断能力不足、虚警率高的缺点。智能BIT设计提高了系统的可测试性和故障诊断能力,具有较强的实用价值。
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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