紫外图像处理在飞机引擎故障诊断中的研究

Using UV lmage processing method to determine jet plane engine state

通过先进的紫外探测器和紫外CCD摄像机,以及先进的信号处理方法,采用状态维修方式来维护飞机是当前的大趋势。发动机常见的故障之一是富油现象,对引擎具有很大的破坏性。本文介绍了利用图像灰度统计计算方法,分析引擎富油燃烧时紫外图像灰度值的样本平均绝对值偏差等信息,从而提出引擎富油燃烧的紫外图像特征分析的有效方法,为采用紫外光电技术进行飞机引擎的状态探测探索了一条新的技术途径。

It is a trend in the world now that use state maintain method to maintain jet plane's engine by taking advantage of UV sensor,UV CCD camera and advanced signal processing methods.One of the most popular plane engine failures is Enrichment phenomenon,which has large damage to the plane engines.In this paper,an effective processing method will be introduced to determine jet plane engine's enrichment phenomenon,which extracts the features of UV images of plane engines combustion chamber nozzles by analyzing Sample mean standard deviation of the gray level of UV images.This technology furnishes us with a new way of jet plane engine's states detection based on UV photo-electricity technology.