基于图像自动测量的航空发动机故障检测技术研究  

Aeroengine's Fault Detection Technology Based on Image Automatic Measurement

作　　者：张勇[1] 刘冠军[1] 邱静[1] 

机构地区：[1]国防科技大学机电工程与自动化学院,长沙410073

出　　处：《机械科学与技术》2008年第2期176-179,共4页Mechanical Science and Technology for Aerospace Engineering

摘　　要：孔探检测是航空发动机的一种重要无损检测方式,但在实际应用中,孔探检查一般依赖工作人员经验对零件的缺陷进行测量,测量结果准确性较差、效率较低。本文针对该问题,提出了基于样条插值的缺陷尺寸自动测量方法,实现了航空发动机的故障检测。实验结果表明,此方法能准确、快速的对发动机进行故障检测。Endoscopy is an important method for nondestructive testing for aeroengines. However, its application usually relies on the worker＇s experience to measure the defects of aeroengine parts. Therefore the endoscopy has two shortcomings： （ 1 ） It takes a long time to do so; （2） the accuracy of its measurement is low. To solve these problems, we propose the method of automatic measurement that is based on spline interpolation, and the aeroengine＇s fault detections is thus achieved. The experimental results show that the method can detect an aeroengine＇s faults exactly and quickly.

关 键 词：航空发动机 孔探 自动测量 故障诊断 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程]