中国电机工程学报Issue(z1)：147-152,6.DOI:10.13334/j.0258-8013.pcsee.2014.S.021
基于奇异值分解的炉膛三维温度场声学重建仿真研究
Research on Simulation of Furnace Three-Dimensional Temperature Field Reconstruction by Acoustics Based on Singular Value Decomposition
摘要
Abstract
In order to realize the real-time monitoring of temperature field in furnace, the principle of three-dimensional temperature field reconstruction based on acoustic theory was analyzed. Singular value decomposition(SVD) algorithm was introduced. Three typical temperature field models, such as one-peak model, two-peak model and four-peak model, were simulated with only a few acoustic data by least squares method and SVD algorithm respectively. Simulation results acquired by these two algorithms were compared. The simulation acquired a stable reconstruction. In addition, the different temperature field models as well as their reconstruction images were given and reconstruction errors were analyzed. Simulation results indicate that these two algorithms are able to be used to reconstruct furnace three-dimensional temperature field and have good anti-disturbance ability. Compared with least squares method, SVD algorithm has better stability.关键词
声学测温/三维温度场/重建算法/奇异值分解/最小二乘法Key words
acoustic pyrometry/three-dimensional temperature field/reconstruction algorithms/singular value decomposition/least squares method分类
能源科技引用本文复制引用
王然,安连锁,沈国清,张世平..基于奇异值分解的炉膛三维温度场声学重建仿真研究[J].中国电机工程学报,2014,(z1):147-152,6.基金项目
高等学校学科创新引智计划(B12034)；北京高等学校青年英才计划项目；中央高校基本科研业务费专项资金资助。The Teaching and Research Award Program for Outstanding 111 Project (B12034) （B12034）
Beijing Higher Education Young Elite Teacher Project （）
The Fundamental Research Funds for the Central Universities （）
