Soft-sensing and Error Analysis of Air Flow

被引：0

作者：

Li Jian ^{[1
]}

Zhang Bin-wen ^{[1
]}

机构：

[1] North China Elect Power Univ, 2 Beinong Rd, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015) | 2015年 / 10卷

关键词：

air flow; soft-sensing; error analysis; data fusion;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To measure air flow in the power plant, regression models are set up with variables according to mechanical analysis and data mining technique, and the results are verified by goodness of fit, F-test and deviance. It is proved that the results using multi-sensor data fusion is more reliable and accurate than the single ones or the arithmetic average value, and based on that, a principle is presented to ensure the data with smaller error is selected. The soft-sensing model of air flow is established by the experiment in a power plant.

引用

页码：20 / 23

页数：4

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