start-ver=1.4 cd-journal=joma no-vol=38 cd-vols= no-issue=1-2 article-no= start-page=15 end-page=27 dt-received= dt-revised= dt-accepted= dt-pub-year=2004 dt-pub=200403 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Feature Extraction and Classification of Operational Data for Diagnosis of Hot Strip Mill Looper Control en-subtitle= kn-subtitle= en-abstract= kn-abstract=In these days, mechanical systems are becoming more complex and highly automated. So, there exist wide variety of demands for reliable diagnostic technology. A reliable data analysis and quantitative diagnosis method of mechanical system is necessary for the purpose. In this paper a quantitative diagnosis method for looper height control system has been developed based on neural network technologies. The wavelet transformation is used for pre-processing to analyze characteristics of looper height control system. And, self organizing map neural network is used for the purpose of classification based on the pre-processed data. After that, the classified results are used for quantitative diagnosis in hierarchical neural network. en-copyright= kn-copyright= en-aut-name=TorigoeTakashi en-aut-sei=Torigoe en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KonishiMasami en-aut-sei=Konishi en-aut-mei=Masami kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ImaiJun en-aut-sei=Imai en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=NishiTatsushi en-aut-sei=Nishi en-aut-mei=Tatsushi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology Okayama University affil-num=2 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University affil-num=3 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University affil-num=4 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University END start-ver=1.4 cd-journal=joma no-vol=38 cd-vols= no-issue=1-2 article-no= start-page=5 end-page=14 dt-received= dt-revised= dt-accepted= dt-pub-year=2004 dt-pub=200403 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Control Method for Temperature Distribution in Reactor Furnace by Sequential Quadratic Programming Method en-subtitle= kn-subtitle= en-abstract= kn-abstract=Temperature distribution in the reactor furnace is mainly operated by gas blowing from multiple tuyeres and material charge distribution. The objective of our research is obtain the optimal profile of gas flow to control temperature distribution in the reactor furnace in the shortest possible time. We formulated the optimization problem to reduce deviation of temperature distribution from its desired one in the reactor furnace. Based on the formulation, gas blow conditions are optimized by a sequential quadratic programming method to realize the desired temperature distribution. The validity of the method was checked through numerical experiments. en-copyright= kn-copyright= en-aut-name=IshimaruKazuhito en-aut-sei=Ishimaru en-aut-mei=Kazuhito kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KonishiMasami en-aut-sei=Konishi en-aut-mei=Masami kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ImaiJun en-aut-sei=Imai en-aut-mei=Jun kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=NishiTatsushi en-aut-sei=Nishi en-aut-mei=Tatsushi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= affil-num=1 en-affil= kn-affil=Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology Okayama University affil-num=2 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University affil-num=3 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University affil-num=4 en-affil= kn-affil=Dept. of Electrical and Electronic Engineering Okayama University END