start-ver=1.4 cd-journal=joma no-vol=97 cd-vols= no-issue=6 article-no= start-page=326 end-page=333 dt-received= dt-revised= dt-accepted= dt-pub-year=2011 dt-pub=20110601 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Methods of Diagnosis and Intervention for Agent of Hot Rolling Operation Support kn-title=”M‰„‘€‹ĘŽx‰‡ƒG[ƒWƒFƒ“ƒg\’z‚Ģ‚½‚ß‚Ģ‘€‹Ęf’f‚Ęˆ³‰„‘€ģ•ū–@ en-subtitle= kn-subtitle= en-abstract= kn-abstract=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. en-copyright= kn-copyright= en-aut-name=KonishiMasami en-aut-sei=Konishi en-aut-mei=Masami kn-aut-name=¬¼³ēZ kn-aut-sei=¬¼ kn-aut-mei=³ēZ aut-affil-num=1 ORCID= en-aut-name=NakanoKoichi en-aut-sei=Nakano en-aut-mei=Koichi kn-aut-name=’†–ģFˆź kn-aut-sei=’†–ģ kn-aut-mei=Fˆź aut-affil-num=2 ORCID= en-aut-name=ImaiJun en-aut-sei=Imai en-aut-mei=Jun kn-aut-name=”ˆäƒ kn-aut-sei=”ˆä kn-aut-mei=ƒ aut-affil-num=3 ORCID= affil-num=1 en-affil= kn-affil=‰ŖŽR‘åŠw‘åŠw‰@Ž©‘R‰ČŠwŒ¤‹†‰Č affil-num=2 en-affil= kn-affil=‰ŖŽR‘åŠw‘åŠw‰@Ž©‘R‰ČŠwŒ¤‹†‰Č affil-num=3 en-affil= kn-affil=‰ŖŽR‘åŠw‘åŠw‰@Ž©‘R‰ČŠwŒ¤‹†‰Č en-keyword=diagnosis kn-keyword=diagnosis en-keyword=agent system kn-keyword=agent system en-keyword=human intervention kn-keyword=human intervention en-keyword=hot strip rolling kn-keyword=hot strip rolling en-keyword=rule extraction kn-keyword=rule extraction en-keyword=genetic algorithm kn-keyword=genetic algorithm en-keyword=support vector machine kn-keyword=support vector machine END