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 journalArticle

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 languageEnglish
Pages (from-to)29-35
Number of pages7
JournalIEEJ Transactions on Industry Applications
Volume111
Issue number1
DOIs
Publication statusPublished - 1991
Externally publishedYes

Fingerprint

Inspection
Inspection equipment
Lasers
Iron and steel industry
Cold rolling
Neural networks
Defects
Experiments

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet. / Nakano, Kimiaki; Fukutani, Kazuhiko; Seno, Satoshi; Shirakawa, Yoshiyuki; Tanaka, Hiroyuki.

In: IEEJ Transactions on Industry Applications, Vol. 111, No. 1, 1991, p. 29-35.

Research output: Contribution to journalArticle

Nakano, Kimiaki ; Fukutani, Kazuhiko ; Seno, Satoshi ; Shirakawa, Yoshiyuki ; Tanaka, Hiroyuki. / The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet. In: IEEJ Transactions on Industry Applications. 1991 ; Vol. 111, No. 1. pp. 29-35.
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