Boiler excess air coefficient model based on the large data analysis

Excess air coefficient value of boiler directly affects boiler efficiency.The multivariate linear regression method in the large data analysis method was used,after the preprocessing of the historical running data,the SPSS software was used to regress the sample data,and the evaluation model of the...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaowen SU, Chaofei LIU, Zhiwei WANG, Hao ZHANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Excess air coefficient value of boiler directly affects boiler efficiency.The multivariate linear regression method in the large data analysis method was used,after the preprocessing of the historical running data,the SPSS software was used to regress the sample data,and the evaluation model of the influence factors for the excess air coefficient was established.The correlation coefficient of the selected influence factors was obtained,and the accuracy of the model was carried out by the residual analysis method.Finally,the excess air coefficient of the actual operation was analyzed based on the design value.
ISSN:1000-0801