A Vitual Instrument for Sensors Nonlinear Errors Calibration

Author

Liqun, Hou ; Tongxiang, He ; Yaoquan, Yang

Author_Institution

Dept. of Autom., North China Electr. Power Univ., Hebei

Volume

3

fYear

2005

fDate

16-19 May 2005

Firstpage

2103

Lastpage

2106

Abstract

Generally, the input-output characteristic of many sensors are nonlinear. To improve the measure precision, the sensors nonlinear errors need to be calibrated. At present many calibration methods have been researched in term of theoretical analysis but no effective software be developed from the points of engineering actual applications. In this paper, a virtual instrument for sensors nonlinear errors calibration, based on Labview6.1, is presented. It consists of three kinds of nonlinear errors calibration methods: linear fit calibration, polynomial fit calibration and artificial neural network calibration. Tests and performance analysis of the VI were performed with the data of fibre-optic displacement sensor

Keywords

calibration; neural nets; sensors; virtual instrumentation; Labview6.1; artificial neural network calibration; fibre-optic displacement sensor; linear fit calibration; polynomial fit calibration; sensors nonlinear errors calibration; virtual instrument; Application software; Artificial neural networks; Calibration; Instruments; Optical fiber sensors; Performance analysis; Performance evaluation; Polynomials; Sensor phenomena and characterization; Testing; Calibration; Neural Networks; Nonlinear Error; Polynomial Fit; Sensor; Virtual Instrument;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604544

Filename

1604544