Soft Sensing Method Of LS-SVM Using Temperature Time Series For Gas Flow Measurements

Soft Sensing Method Of LS-SVM Using Temperature Time Series For Gas Flow Measurements

This paper proposes a soft sensing method of least squares support vector machine (LS-SVM) using temperature time series for gas flow measurements. A heater unit has been installed on the external wall of a pipeline to generate heat pulses. Dynamic temperature signals have been collected upstream of...

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Bibliographic Details
Main Authors: Xu Weiqing, Fan Zichuan, Cai Maolin, Shi Yan, Tong Xiaomeng, Sun Junpeng
Format: Article
Language:English
Published: Polish Academy of Sciences 2015-09-01
Series:Metrology and Measurement Systems
Subjects:
gas flow
soft sensor
support vector machine
temperature time series
Online Access:http://www.degruyter.com/view/j/mms.2015.22.issue-3/mms-2015-0028/mms-2015-0028.xml?format=INT

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http://www.degruyter.com/view/j/mms.2015.22.issue-3/mms-2015-0028/mms-2015-0028.xml?format=INT

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