A Study on Reconstructing Temperature Field

Xian Zhou; Wei Gen Wu; Gao Yuan Niu; Qiang Wang

doi:10.4028/www.scientific.net/AMM.341-342.1150

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342A Study on Reconstructing Temperature Field

A Study on Reconstructing Temperature Field

Abstract:

This paper puts forward a new algorithm based on RBF neural network to reconstruct three-dimensional temperature field.The algorithm uses three-dimension Discrete Cosine Transform on temperature field,and establishes a mapping relation between low order term coefficient vector and sound wave path average temperature vector,then implements the mapping relation using radical basis function neural network.Finally three-dimensional temperature field was reconstructed by using Inverse three-dimension Discrete Cosine Transform.Simulation results show that the algorithm features high precision.

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Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

1150-1154

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.1150

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Online since:

July 2013

Authors:

Xian Zhou, Wei Gen Wu, Gao Yuan Niu, Qiang Wang

Keywords:

Acoustic Thermometry, DCT, Three-Dimension Temperature Field

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