Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

Soft-sensing and Error Analysis of Air Flow

Authors
Li Jian, Zhang Bin-wen
Corresponding Author
Li Jian
Available Online December 2015.
DOI
10.2991/jimet-15.2015.5How to use a DOI?
Keywords
air flow; soft-sensing; error analysis; data fusion
Abstract

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.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-129-2
ISSN
2352-538X
DOI
10.2991/jimet-15.2015.5How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Jian
AU  - Zhang Bin-wen
PY  - 2015/12
DA  - 2015/12
TI  - Soft-sensing and Error Analysis of Air Flow
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 20
EP  - 23
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.5
DO  - 10.2991/jimet-15.2015.5
ID  - Jian2015/12
ER  -