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作 者:胡欣[1] 王健康[1] 姚旺[1] 刘飞[1] 刘文文[1] 王琳娜[1] 欧连军[1] 梁君[1]
机构地区:[1]中国运载火箭技术研究院研究发展中心,北京100076
出 处:《计算机测量与控制》2016年第6期21-23,55,共4页Computer Measurement &Control
摘 要:鉴于特殊的飞行任务需求,某型号航电综合单一的故障逻辑难以满足多元故障状态下自主重构需求,降低了系统容错性;为解决航电综合多元故障模式难以量化表征影响故障重构的工程难题,创新地提出了一种适用于航电综合的故障检测和重构方法,基于决策表数据挖掘技术的航电综合故障预测流程和多源信息故障检测技术确保常规故障检测率大于98%,航电系统重构状态的量化表征分类方式确保了系统快速重构设计,文章提出的故障检测和重构方法极大地提高航电综合系统的故障检测率与容错能力。For the special flight mission,the single fault logic of one type of avionics is difficult to meet the demand of autonomous recon-figuration on the multiple failure condition,and the system fault tolerance is reduced.To solve the difficult to quantify impact fault recon-struction of the avionics integrated multiple failure modes,one method of avionic fault diagnosis and system reconfiguration was put forward. By combining data mining technology based on the decision table of avionics integrated fault prediction process and multi-source information fault detection technology,the normal fault detection rate can be ensured more than 98%.And the results of avionics system reconfigurable show that state of the avionics system reconstruction of quantitative characterization of classification can be used to ensure the design of rapid system reconfigurable.In this paper,the method improves avionic fault detection rate and system fault tolerance.
分 类 号:V455[一般工业技术—材料科学与工程]
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