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 |
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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 journal › Article
}
TY - JOUR
T1 - The Study of Neuralnetwork for Surface Inspection of Cold Rolled Sheet
AU - Nakano, Kimiaki
AU - Fukutani, Kazuhiko
AU - Seno, Satoshi
AU - Shirakawa, Yoshiyuki
AU - Tanaka, Hiroyuki
PY - 1991
Y1 - 1991
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85007873327&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007873327&partnerID=8YFLogxK
U2 - 10.1541/ieejias.111.29
DO - 10.1541/ieejias.111.29
M3 - Article
AN - SCOPUS:85007873327
VL - 111
SP - 29
EP - 35
JO - IEEJ Transactions on Industry Applications
JF - IEEJ Transactions on Industry Applications
SN - 0913-6339
IS - 1
ER -