Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor
In this paper, the author successfully proposed a new magnetic grid displacement data fitting model, based on partial least squares regression. Firstly, sinusoidal voltage is generated by the movement of magnetic sense hall on top of alnicos array. Then, handle the experimental data by the partial l...
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doaj-ffd708323ee24e37b2369f0ab5cd66e62020-11-24T23:44:15ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792013-05-0120Special Issue15Application of Partial Least Squares Regression to Static Magnetic Grid Displacement SensorQIAO Shuang0Wuhan University of Technology, School of Information Engineering, Wuhan, 430070, ChinaIn this paper, the author successfully proposed a new magnetic grid displacement data fitting model, based on partial least squares regression. Firstly, sinusoidal voltage is generated by the movement of magnetic sense hall on top of alnicos array. Then, handle the experimental data by the partial least squares fitting, obtained the relationship between values of Hall and displacement, and finally finish the displacement measure. The experiment results indicated that: this design can achieve displacement fitting goodness 99.98 % and maximum deviation of 0.1 mm. This method largely simplifies the production process of magnetic grid displacement sensor, reduces costs and achieves mass production. It has important implications in some special environment such as high temperature, low temperature, underwater and so on.http://www.sensorsportal.com/HTML/DIGEST/april_2013/Special_Issue/P_SI_321.pdfStatic magnetic gridSensorPartial least squares regression (PLSR)Linear fitting |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
QIAO Shuang |
spellingShingle |
QIAO Shuang Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor Sensors & Transducers Static magnetic grid Sensor Partial least squares regression (PLSR) Linear fitting |
author_facet |
QIAO Shuang |
author_sort |
QIAO Shuang |
title |
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor |
title_short |
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor |
title_full |
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor |
title_fullStr |
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor |
title_full_unstemmed |
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor |
title_sort |
application of partial least squares regression to static magnetic grid displacement sensor |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2013-05-01 |
description |
In this paper, the author successfully proposed a new magnetic grid displacement data fitting model, based on partial least squares regression. Firstly, sinusoidal voltage is generated by the movement of magnetic sense hall on top of alnicos array. Then, handle the experimental data by the partial least squares fitting, obtained the relationship between values of Hall and displacement, and finally finish the displacement measure. The experiment results indicated that: this design can achieve displacement fitting goodness 99.98 % and maximum deviation of 0.1 mm. This method largely simplifies the production process of magnetic grid displacement sensor, reduces costs and achieves mass production. It has important implications in some special environment such as high temperature, low temperature, underwater and so on. |
topic |
Static magnetic grid Sensor Partial least squares regression (PLSR) Linear fitting |
url |
http://www.sensorsportal.com/HTML/DIGEST/april_2013/Special_Issue/P_SI_321.pdf |
work_keys_str_mv |
AT qiaoshuang applicationofpartialleastsquaresregressiontostaticmagneticgriddisplacementsensor |
_version_ |
1725499369908600832 |