Details

Title

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

Journal title

Metrology and Measurement Systems

Yearbook

2015

Volume

vol. 22

Issue

No 3

Authors

Keywords

gas flow ; soft sensor ; support vector machine ; temperature time series

Divisions of PAS

Nauki Techniczne

Coverage

383-392

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2015[2015.01.01 AD - 2015.12.31 AD]

Type

Artykuły / Articles

Identifier

DOI: 10.1515/mms-2015-0028 ; ISSN 2080-9050, e-ISSN 2300-1941

Source

Metrology and Measurement Systems; 2015; vol. 22; No 3; 383-392

References

Suykens (1999), Least Squares Support Vector Machine classifiers Neural Processing, Letters, 9, 293. ; Cai (2006), Power Assessment of Flowing Compressed Air Fluids, Trans Eng, 128. ; Fan (2012), An improved denoising algorithm based on wavelet transform modulus maxima for non - intrusive measurement signals, Meas Sci Technol, 23, 045007, doi.org/10.1088/0957-0233/23/4/045007 ; Fan (2012), Non - invasive and non - intrusive gas flow measurement based on the dynamic thermal characteristics of a pipeline, Meas Sci Technol, 23, 105303, doi.org/10.1088/0957-0233/23/10/105303 ; Liu (2009), Virtual Sensing Techniques and Their Applications on Networking Sensing and Control Japan, Proc IEEE Int Conf. ; Benson (1970), Thermal mass flowmeter Control, Instrum Syst, 43, 85. ; Abdul (2007), Non - invasive imaging of liquid / gas flow using ultrasonic transmission - mode tomography Sensors and Actuators A, Physical, 135, 337. ; Dyakowski (1996), Process tomography applied to multi - phase flow measurement, Meas Sci Technol, 7, 343, doi.org/10.1088/0957-0233/7/3/015 ; Kim (2007), Study on the steady - state characteristics of the sensor tube of a thermal mass flow meter of Heat and Mass Transfer, International Journal, 50, 1206. ; Muller (1997), Predicting Time Series with Support Vector Machines on Artificial Neural Networks Lausanne, Proc Int Conf, 999. ; Saunders (1998), Ridge regression learning algorithm in dual variables on Machine Learning Wisconsin, Proc Int Conf. ; Olczyk (2008), Specific mass flow rate measurement in a pulsating flow of gas, Metrol Meas Syst, 15, 165. ; Joseph (1999), Tutorial on inferential control and its applications San Diego US, Proc IEEE American Control Conference, 3106. ; Janka (1984), Ion deflection air flow meter with constant deflection, Rev Sci Instrum, 55, 976, doi.org/10.1063/1.1137835 ; Keita (1994), Behaviour of straight pipe Coriolis mass flowmeters in the metering of gas : theoretical predictions with experimental verification Flow Meas, Instrum, 5, 289. ; Kolahi (1994), Coriolis mass flow measurement of gas under normal conditions Flow Meas, Instrum, 5, 275.
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