Quality Identification of the Riveting Process by Using Neural Network

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.

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Cite this paper

@article{Wang2009QualityIO, title={Quality Identification of the Riveting Process by Using Neural Network}, author={Hsing-Ling Wang and P. Weng and Chi-Huang Chiang and Rey-Chue Hwang}, journal={2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)}, year={2009}, pages={1204-1207} }