A Vitual Instrument for Sensors Nonlinear Errors Calibration

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 poi...

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Bibliographic Details
Main Authors: Hou Liqun, He Tongxiang, Yang Yaoquan
Format: Conference Proceeding
Language:English
Subjects:
Application software
Artificial neural networks
Calibration
Instruments
Neural Networks
Nonlinear Error
Optical fiber sensors
Performance analysis
Performance evaluation
Polynomial Fit
Polynomials
Sensor
Sensor phenomena and characterization
Testing
Virtual Instrument
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Summary: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
ISSN:1091-5281
DOI:10.1109/IMTC.2005.1604544