Abstract
The steel industry is very interested in the high accurate inspection technique of cold rolling strip because of requirement of high quality products and high speed production. Although a laser reflecting inspection system is generally used, the accuracy of inspection is not sufficient yet. We have developed new approach for a inspection method used advanced neural network technology joined with a conventional laser inspection equipment. In this paper, we show our proposed method, the performance through experiment with sample defects data and the comparison between proposed method and two conventional methods.
| Original language | English |
|---|---|
| Pages (from-to) | 29-35 |
| Number of pages | 7 |
| Journal | IEEJ Transactions on Industry Applications |
| Volume | 111 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1991 |
| Externally published | Yes |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
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Nakano, K., Fukutani, K., Seno, S., Shirakawa, Y., & Tanaka, H. (1991). The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet. IEEJ Transactions on Industry Applications, 111(1), 29-35. https://doi.org/10.1541/ieejias.111.29