Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604544
