The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet

Kimiaki Nakano; Kazuhiko Fukutani; Satoshi Seno; Yoshiyuki Shirakawa; Hiroyuki Tanaka

doi:10.1541/ieejias.111.29

The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet

Kimiaki Nakano, Kazuhiko Fukutani, Satoshi Seno, Yoshiyuki Shirakawa, Hiroyuki Tanaka

Research output: Contribution to journal › Article

1 Citation (Scopus)

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	https://doi.org/10.1541/ieejias.111.29
Publication status	Published - 1991
Externally published	Yes

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ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Cite this

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

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10.1541/ieejias.111.29