标题:Optimization of process parameters based on fuzzy similarity relation
作者:Guoqiang, Ren ;Weiping, Yang ;Yong, Zhang ;Yanfang, Yin ;Tingting, Hu
作者机构:[Guoqiang, Ren ;Weiping, Yang ;Yanfang, Yin ] Shandong University of Sci-Tech, JiNan; 250031, China;[Tingting, Hu ] Shandong Shenghan Finance-Trade Vo 更多
会议名称:2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
会议日期:26 April 2014 through 28 April 2014
来源:Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
出版年:2014
卷:3
页码:2096-2099
DOI:10.1109/InfoSEEE.2014.6946294
关键词:Fourier series; Fuzcy similarity relation; Production operating record; Technical parameters
摘要:In chemical production, the managers generally set variable production indices aiming at the market demanding, this demands the technicians select the relative optimal technical parameters to reach the new production indices, In general, the technicians find new parameters mainly by consulting the past operating record and their experience, which is excessively subjective, thus, the goal of this paper is that normalize the processing of parameters selection. The method we developed here is as follow: Firstly, we build a production database based on SQL platform, which record each group technical parameters and its corresponding production effect, then, by calculating the fuzzy similarity relation between each production effect and production indices, find the production effect which is most approaching to production index and, make its corresponding technical parameters our standard parameters. This method is effective and widely useful for other production systems. © 2014 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84913591847&doi=10.1109%2fInfoSEEE.2014.6946294&partnerID=40&md5=c3d0a7581b94dec8404925b249e1fa0a
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