Title :
Quality Identification of the Riveting Process by Using Neural Network
Author :
Wang, Hsing-Ling ; Weng, Pin-Hsuin ; Chiang, Chi-Huang ; Hwang, Rey-Chue
Author_Institution :
Aviation Manage. Dept., Chinese Air Force Acad., Kaohsiung, Taiwan
Abstract :
The manufacturing quality of an aircraft structure greatly relies on the experienced technician with consistent riveting process. Generally, the cost for training an experienced technician is very high. However, manufacturing defects are still unavoidable due to the human errors. In this paper, a quality inspection system for riveting process by using neural network (NN) was developed. This inspection system is able to monitor the real time process and give the assistance on riveting quality verification for experienced technician.
Keywords :
aircraft manufacture; inspection; neural nets; production engineering computing; riveting; aircraft structure; manufacturing quality; neural network; quality identification; riveting process; riveting quality verification; Acceleration; Aerospace control; Aircraft manufacture; Aircraft propulsion; Costs; Humans; Inspection; Manufacturing; Military aircraft; Neural networks;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.300
