Title :
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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777501
