CN113030156B - 一种基于非线性慢特征模型的聚丙烯熔融指数软测量方法 - Google Patents
一种基于非线性慢特征模型的聚丙烯熔融指数软测量方法 Download PDFInfo
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- G01N25/04—Investigating or analyzing materials by the use of thermal means by investigating changes of state or changes of phase; by investigating sintering of melting point; of freezing point; of softening point
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1916791A (zh) * | 2006-09-12 | 2007-02-21 | 浙江大学 | 一种丙烯聚合工业生产熔融指数软测量方法 |
CN101017374A (zh) * | 2006-12-28 | 2007-08-15 | 浙江大学 | 基于盲源信号分析的聚丙烯熔融指数软测量仪表及方法 |
CN102609593A (zh) * | 2012-03-05 | 2012-07-25 | 浙江大学 | 基于多重先验知识混合模型的聚丙烯熔融指数预报方法 |
CN102880809A (zh) * | 2012-10-11 | 2013-01-16 | 浙江大学 | 基于关联向量回归模型的聚丙烯熔融指数在线检测方法 |
CN103630568A (zh) * | 2013-09-22 | 2014-03-12 | 浙江大学 | Bp网络的工业熔融指数软测量仪表及方法 |
CN103675007A (zh) * | 2013-09-22 | 2014-03-26 | 浙江大学 | Rbf网络的工业熔融指数软测量仪表及方法 |
CN103838954A (zh) * | 2013-12-09 | 2014-06-04 | 浙江大学 | 一种相关向量聚丙烯熔融指数软测量系统和方法 |
CN103902825A (zh) * | 2014-04-01 | 2014-07-02 | 浙江大学 | 基于提升独立成分回归分析模型的熔融指数软测量方法 |
CN107168063A (zh) * | 2017-05-26 | 2017-09-15 | 宁波大学 | 基于集成变量选择型偏最小二乘回归的软测量方法 |
CN107423503A (zh) * | 2017-07-21 | 2017-12-01 | 江南大学 | 基于核慢特征分析和时滞估计的gpr建模 |
Family Cites Families (1)
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AU2015221851B2 (en) * | 2014-02-25 | 2019-05-09 | C.Y. O'connor Erade Village Foundation Inc. | Methods and systems for measuring melting temperatures |
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Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1916791A (zh) * | 2006-09-12 | 2007-02-21 | 浙江大学 | 一种丙烯聚合工业生产熔融指数软测量方法 |
CN101017374A (zh) * | 2006-12-28 | 2007-08-15 | 浙江大学 | 基于盲源信号分析的聚丙烯熔融指数软测量仪表及方法 |
CN102609593A (zh) * | 2012-03-05 | 2012-07-25 | 浙江大学 | 基于多重先验知识混合模型的聚丙烯熔融指数预报方法 |
CN102880809A (zh) * | 2012-10-11 | 2013-01-16 | 浙江大学 | 基于关联向量回归模型的聚丙烯熔融指数在线检测方法 |
CN103630568A (zh) * | 2013-09-22 | 2014-03-12 | 浙江大学 | Bp网络的工业熔融指数软测量仪表及方法 |
CN103675007A (zh) * | 2013-09-22 | 2014-03-26 | 浙江大学 | Rbf网络的工业熔融指数软测量仪表及方法 |
CN103838954A (zh) * | 2013-12-09 | 2014-06-04 | 浙江大学 | 一种相关向量聚丙烯熔融指数软测量系统和方法 |
CN103902825A (zh) * | 2014-04-01 | 2014-07-02 | 浙江大学 | 基于提升独立成分回归分析模型的熔融指数软测量方法 |
CN107168063A (zh) * | 2017-05-26 | 2017-09-15 | 宁波大学 | 基于集成变量选择型偏最小二乘回归的软测量方法 |
CN107423503A (zh) * | 2017-07-21 | 2017-12-01 | 江南大学 | 基于核慢特征分析和时滞估计的gpr建模 |
Non-Patent Citations (4)
Title |
---|
Cheng, Z (Cheng, Zhong)等.Optimal online soft sensor for product quality monitoring in propylene polymerization process.《Neurocomputing》.2015,第149卷第1216-1224页. * |
Ge, ZQ (Ge, Zhiqiang)等.Quality prediction for polypropylene production process based on CLGPR model.《Control Engineering Practice》.2011,第19卷(第5期),第423-432页. * |
李春富.聚丙烯熔融指数软测量.《化工自动化及仪表》.2002,第29卷(第5期),第22-25页. * |
梁晓霞等.基于偏最小二乘法和最小二乘支持向量机方法的熔融指数预测.《中国科技信息》.2010,(第10期),第1-3页. * |
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