摘要
研究了基于光谱信息的发动机磨损故障Dempster-Shafer证据融合诊断方法,确定了其故障识别框架和诊断规则;采用分区间S函数确定了mass函数的形式,融合了油液中7种金属元素浓度信息和浓度变化率信息,并应用于航空发动机磨损故障诊断。
The evidence fusion diagnosis method of wear out fault Dempster-Shafer for an aeroengine was investigated based on the spectrum information and the fault recognition framework and the fault diagnosis rules were determined. The mass function form was determined by using the section S function. Seven metallic elements informatious of the density and rate of density change were fused in the fluid which was applied to wear out fault diagnosis for the aeroengine.
出处
《航空发动机》
2009年第1期37-39,56,共4页
Aeroengine