A Study on Reconstructing Temperature Field

摘要：

　　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.

关键词： three-dimension temperature field acoustic thermometry DCT

作者: Xian Zhou Wei-gen Wu Gao-yuan Niu Qiang Wang

作者单位: School of Electrical and Information Engineering,Xihua University,chengdu 610039,China School of Electrical and Information Engineering,Panzhihua University,Panzhihua 617000,China

会议类型: 国际会议

会议名称: 2013 International Conference on Energy Research and Power Engineering(2013能源研究与电力工程国际会议)(ERPE2013)

会议地点: 郑州

会议语种:英文

页码: 31-35

在线出版日期: 2013-05-24（万方平台首次上网日期，不代表论文的发表时间）