中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process

文献类型:期刊论文

作者Pian JX(片锦香); Zhu YL(朱云龙)
刊名Neurocomputing
出版日期2015
卷号169页码:457-469
ISSN号0925-2312
通讯作者朱云龙
产权排序1
中文摘要To overcome the difficulties associated with the frequently varying operating conditions of the laminar cooling process and measuring the strip temperature in the cooling process online, a soft sensor model of the hot-rolled strip is proposed which combines mathematical and hybrid intelligent methods. The proposed approach is based on computational intelligence techniques, where RBF neural networks, CBR and fuzzy logic reasoning are employed to estimate process parameters for predicting the coiling temperature of the strips. A number of simulation tests using industrial data are conducted where the desired numerical results are obtained. It has been shown that the proposed soft sensor has a high potential for being used to effectively measure the strip temperature in the laminar cooling process.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]SYSTEM ; STEEL ; TABLE ; MILLS
收录类别SCI ; EI ; CPCI(ISTP)
语种英语
WOS记录号WOS:000359170300051
源URL[http://ir.sia.ac.cn/handle/173321/16150]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Pian JX,Zhu YL. A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process[J]. Neurocomputing,2015,169:457-469.
APA Pian JX,&Zhu YL.(2015).A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process.Neurocomputing,169,457-469.
MLA Pian JX,et al."A hybrid soft sensor for measuring hot-rolled strip temperature in the laminar cooling process".Neurocomputing 169(2015):457-469.

入库方式: OAI收割

来源:沈阳自动化研究所

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