摘要
用小波分析去除噪声的方法,对气-固循环流化床中两相流颗粒浓度的实验数据进行分析,揭示流化床中两相流的流动规律。气固循环流化床提升管的颗粒浓度和压力波动信号的去除噪结果表明,小波分析方法能有效去除颗粒浓度和压力波动信号中的大部分噪声,其消噪效果优于传统的傅里叶变换滤波方法,且小波分析去噪方法能更加有效地辨别真实信号与噪声信号。
In the paper,the behaviors of gas-solid circulating fluidized bed have been studied by wavelet package.The experimental analysis results show that the gas and solids phases local flow structure of CFB riser are composed of dilute phase and dense phase.The results indicate the method can efficiently differentiate the noises from the solids holdup signals.And the denoised effect is much better than that by filter method based on the Fourier transform..
出处
《重庆理工大学学报（自然科学）》
CAS
2011年第2期29-33,共5页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金资助项目(50736002
No.61072005)
国家"863"计划资助项目(2007AA05Z331)
国家重点基础研究发展计划项目(2005CB422100)
长江学者和创新团队发展计划项目
关键词
气固两相流
浓度信号
降噪
小波分析
模极大值
gas-solid
concentration signal
denoiser
wavelet analysis
modulus maximum
