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ID 48874
フルテキストURL
タイトル(別表記)
Methods of Diagnosis and Intervention for Agent of Hot Rolling Operation Support
著者
小西 正躬 岡山大学大学院自然科学研究科
中野 孝一 岡山大学大学院自然科学研究科
今井 純 岡山大学大学院自然科学研究科
抄録
In the last two decades, it becomes possible to automate operations of various steel plants especially in rolling mills. As the results, stabilization of productivity and improvement of product quality have been attained. On the while, in these years, many skilled engineers and operators who actively promoted economical growth of steel industries will retire due to their age limits. Thus, the inheritance of the high level technology and know-how has becomes a serious problem. To overcome the problem, it is necessary to extract knowledge of the skilled persons and make technical textbook reducing tacit knowledge. In this paper, rules are extracted from the operation data of hot strip rolling applicable to the operation diagnosis and intervention during operation. To attain the object, agent based simulator of hot strip rolling has been developed to prepare various rolling data for extraction of diagnosis and intervention rules in rolling operations. As for the selection of normal and abnormal data, SVM algorithm is tested before rules extraction. Rules are written in Fuzzy logic forms and its parameters are optimized by GA algorithm. These technologies are involved in the operation support agent system of hot strip rolling mills together with RNN for automatic gain tuning of mill controller.
キーワード
diagnosis
agent system
human intervention
hot strip rolling
rule extraction
genetic algorithm
support vector machine
発行日
2011-06-01
出版物タイトル
鉄と鋼
出版物タイトル(別表記)
Tetsu-to-Hagané
97巻
6号
出版者
社団法人 日本鉄鋼協会
開始ページ
326
終了ページ
333
ISSN
0021-1575
資料タイプ
学術雑誌論文
オフィシャル URL
http://dx.doi.org/10.2355/tetsutohagane.97.326
言語
Japanese
著作権者
Copyright © 2011 社団法人 日本鉄鋼協会
論文のバージョン
publisher
査読
有り
DOI