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...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-03-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/ |
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author | Xiaowen SU Chaofei LIU Zhiwei WANG Hao ZHANG |
author_facet | Xiaowen SU Chaofei LIU Zhiwei WANG Hao ZHANG |
author_sort | Xiaowen SU |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-b527b7a0a2664b34a65316cb42abc1f1 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2019-03-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-b527b7a0a2664b34a65316cb42abc1f12025-01-15T03:03:16ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-03-013514715259590859Boiler excess air coefficient model based on the large data analysisXiaowen SUChaofei LIUZhiwei WANGHao ZHANGExcess 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/excess air coefficientbig datamultiple linear regressionSPSS |
spellingShingle | Xiaowen SU Chaofei LIU Zhiwei WANG Hao ZHANG Boiler excess air coefficient model based on the large data analysis Dianxin kexue excess air coefficient big data multiple linear regression SPSS |
title | Boiler excess air coefficient model based on the large data analysis |
title_full | Boiler excess air coefficient model based on the large data analysis |
title_fullStr | Boiler excess air coefficient model based on the large data analysis |
title_full_unstemmed | Boiler excess air coefficient model based on the large data analysis |
title_short | Boiler excess air coefficient model based on the large data analysis |
title_sort | boiler excess air coefficient model based on the large data analysis |
topic | excess air coefficient big data multiple linear regression SPSS |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019045/ |
work_keys_str_mv | AT xiaowensu boilerexcessaircoefficientmodelbasedonthelargedataanalysis AT chaofeiliu boilerexcessaircoefficientmodelbasedonthelargedataanalysis AT zhiweiwang boilerexcessaircoefficientmodelbasedonthelargedataanalysis AT haozhang boilerexcessaircoefficientmodelbasedonthelargedataanalysis |