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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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2013-05-01
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| Series: | Sensors & Transducers |
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| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/april_2013/Special_Issue/P_SI_321.pdf |
| Summary: | 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. |
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| ISSN: | 2306-8515 1726-5479 |