基于灰色关联度和模糊贴近度的复杂设备瞬态虚警辨识

The Identification for Instant False Alarm in Complex Equipment Based on the Measures of Grey Correlation and Fuzzy Nearness

分析了电子设备和武器装备的ＢＩＴ系统虚警形式之一——瞬态虚警的产生原因和一般的预防措施；提出运用灰色关联度和模糊贴近度对瞬态虚警进行辨识并给出了这两种方法的基本原理；分别采用数值模拟和物理模拟的手段，获得了具有温度、湿度、振动（电源）三环境参数系统的状态变化样本群，以及因振动（电源）参数突变而产生的瞬态虚警样本；运用灰色关联度和模糊贴近度方法识别虚警及产生虚警的环境因素，结果表明两种方法可以胜任要求。

In the paper the creative causes and protective measures to the instant false alarm,which is one of the types of false alarms taking place in the BIT (Built In Test)system of electronics or weapon equipments,are analyzed.The basic theories of grey correlation and fuzzy neamess are offered in order to identify the instant false alarm.The environment al samples group(which are parameters of the temperature,humidity,power or vibration)and instant false alarm sample(which is due to the suddenly varying of vibration or power parameter)are got by both computer and physical simulation.Those samples are analyzed according to the measures of grey correlation and fuzzy neamess,the relationship between the sudden varying of vibration or power parameter and the instant false alarm are identifed.The results testify that the measures offered in the paper are practical in the recognization the instant false alarm.