摘要
针对电子设备的故障识别提出了一种基于性能退化数据的缓变故障预报方法,以不同层次的可观测功能模块为基本的故障预测和定位单位,利用信息熵的概念建立性能检测数据波动趋势的信息模型,对模块进行功能故障预测。试验表明:熵可以比较准确地指明功能电路的软故障与器件老化,对以替换现场可更换单元为主要手段的电子装备原位维修与应急维修有重要的现实意义。
A model for electronic equipment gradual failure checking and prediction established through analyzing performance degradation data is proposed. The measurable functional module and circuit board of different levels are regarded as the basic failure units so as to setup information entropy model with dynamic trend of performance date. The tests indicate that information entropy could check the soft fault and device aging accurately, thus providing a convenient implementation approach especially suitable for on-site maintenance and emergency maintenance.
出处
《信息化研究》
2009年第9期4-6,共3页
INFORMATIZATION RESEARCH
关键词
软故障
性能退化
故障预报
信息熵
soft failure
performance degradation
fault prediction
information entropy