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	Dynamic soft-sensor model of diesel oil solidifying point on a crude distillation unit
	Mao Shuai ; Xiong Zhi-hua ; Xu Yong-mao ; Zhuang Ai-xia ; Huang Hai-long ; Wang Li-qun
	2010-05-06 ; 2010-05-06
关键词	Practical/ chemical engineering computing distillation feedforward neural nets/ crude distillation unit diesel oil solidifying point dynamic soft-sensor model online analysis device feedforward neural network Levinson predictor/ C7450 Chemical engineering computing C5290 Neural computing techniques E3626 Chemical industry E1525 Industrial processes
中文摘要	Neural network based soft sensor models of diesel oil solidifying point (DOSP) on a crude distillation unit are discussed. To fully utilize historical data set of output variable obtained by online analysis device, a dynamic soft sensor model of DOSP is developed by a feedforward neural network that is combined with a Levinson predictor. The Levinson predictor provides multi-step-ahead predictions of output recursively, so the model can diminish the output delays of online analysis device significantly. The simulation results show that the proposed model of DOSP is better than a general static soft sensor model.
语种	中文 ; 中文
出版者	Northeastern Univ ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9138]
专题	清华大学
推荐引用方式 GB/T 7714	Mao Shuai,Xiong Zhi-hua,Xu Yong-mao,et al. Dynamic soft-sensor model of diesel oil solidifying point on a crude distillation unit[J],2010, 2010.
APA	Mao Shuai,Xiong Zhi-hua,Xu Yong-mao,Zhuang Ai-xia,Huang Hai-long,&Wang Li-qun.(2010).Dynamic soft-sensor model of diesel oil solidifying point on a crude distillation unit..
MLA	Mao Shuai,et al."Dynamic soft-sensor model of diesel oil solidifying point on a crude distillation unit".(2010).

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