Quality Identification of the Riveting Process by Using Neural Network

Autor:	Pin-Hsuin Weng, Rey-Chue Hwang, Chi-Huang Chiang, Hsing-Ling Wang
Rok vydání:	2009
Předmět:	Identification (information) Artificial neural network Computer science Technician media_common.quotation_subject Rivet Process (computing) Manufacturing quality Process control Quality (business) media_common Reliability engineering
Zdroj:	2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).
DOI:	10.1109/icicic.2009.300
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::617d1a8b4a40aa8708ff7cd0d211bc2a https://doi.org/10.1109/icicic.2009.300 Zobrazit plný text záznamu