Biaxial Angle Sensor Calibration Method Based on Artificial Neural Network

With regard to the nonlinearity, installation errors and other uncertainties existing in biaxial inclination sensors of borehole inclinometer, this article contrastively applies traditional curve fitting method and artificial neural network theory in the error correction work of inclinometer. Beside...

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Bibliographic Details
Published in:Chemical engineering transactions 2015-12, Vol.46
Main Authors: Y. Li, P. Fu, Z. Li, X.H. Li, Z.B. Lin
Format: Article
Language:English
Online Access:Get full text
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Summary:With regard to the nonlinearity, installation errors and other uncertainties existing in biaxial inclination sensors of borehole inclinometer, this article contrastively applies traditional curve fitting method and artificial neural network theory in the error correction work of inclinometer. Besides, this article also establishes the coordinate transformation model and gives details about the traditional curve fitting method; meanwhile, this article sets up a BP neural network with 2 inputs and 2 outputs to do the curve fitting. After the test, it is proved that the neural network has superiorities of less work and high correcting precision, which means this neural network can be a new kind method for effective error correction.
ISSN:2283-9216
DOI:10.3303/CET1546061