Application of computer vision in performance test of aircraft engine nozzle

Author

Huang, Xiaofeng ; Long, Yonghong

Author_Institution

Coll. of Electr. & Inf. Eng., Hunan Univ. of Technol., Zhuzhou, China

fYear

2011

fDate

15-17 April 2011

Firstpage

1186

Lastpage

1189

Abstract

In order to detect atomization angle and uniformity of aircraft engine nozzle, a new method of computer vision is proposed in this paper. Fuzzy C-means clustering and Hough transform are introduced in spray angle and center offset test. Template self-adaptive image matching algorithms is proposed to detect uniformity. The errors of atomization angle and center offset are less than 0.5 degree. In uniformity test, the error of fuel volume is less than ±2ml. The characteristics of this method are good repeatability and higher precision.

Keywords

Hough transforms; aerospace engines; image matching; mechanical engineering computing; mechanical testing; pattern clustering; Hough transform; aircraft engine nozzle; center offset test; computer vision; engine nozzle test; fuzzy c-means clustering; spray angle test; template self-adaptive image matching algorithm; uniformity test; Atomic measurements; Cameras; Charge coupled devices; Fitting; Fuels; Image matching; Pixel; Atomization angle; Atomization uniformity; Computer vision; Fuzzy C-means clustering; Template self-adaptive image matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777501

Filename

5777501