Expert Systems for the Automatic Surface Inspection of Steel Strip

Haataja, R.; Kerttula, Mikko; Piironen, Timo; Laitinen, Toni

doi:10.1016/b978-0-08-041704-2.50021-2

Cited by 3 publications

(1 citation statement)

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“…Early experimental results are positive and suggest that at least partial automation of the inspection process is both feasible and desirable. 72 The level of automation at the Chiba Works of Kawasaki Steel has reached the point that the No.3 continuous casting plant identifies each slab by stenciling a code on its surface. Since the code can degrade to the point of illegibility, an optical character recognition system was developed using ANN technology.…”

Section: Other Applicationsmentioning

confidence: 99%

Artificial intelligence and expert systems in the steel industry

Carayannis

1993

JOM

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This article was prepared in an effort to determine the state of the art with respect to the use of artificial intelligence and expert system technologies within the steel industry. A number of important developments have been reported and most of them resulted in significant savings. Mathematical modeling is quite important both for understanding and for controlling a process. However, most steelmaking operations are extremely complex and cannot be described mathematically. They are, however, adequately controlled by human operators on the basis of their knowledge and expertise. Because of this, artificial intelligence is an ideal technology for the automation of many steelmakingrelated processes.

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Section: Other Applicationsmentioning

confidence: 99%