鼓泡流化床风帽压力波动信号的小波局部奇异性检测  

Wavelet-based Detection on Local Singularities of Pressure Fluctuation Signals from Wind Cap in Bubbling Fluidized Bed

作　　者：陈鸿伟[1] 王洋[1] 李德育[2] 姜华伟[1] 武振新[1] 

机构地区：[1]华北电力大学电站设备状态监测与控制教育部重点实验室,保定071003 [2]天津市津能投资公司,天津300223

出　　处：《动力工程学报》2014年第1期13-18,共6页Journal of Chinese Society of Power Engineering

基　　金：国家自然科学基金资助项目(50876030);高等学校博士学科点专项科研基金资助项目(20090036110008);华北电力大学"211工程"三期面上项目(94021001);中央高校基本科研业务费专项资金资助项目(11QX77)

摘　　要：在冷态鼓泡流化床实验台上,针对不同流化数、静床高及床料颗粒粒径下测得的风帽压力波动信号,采用小波模极大值法获取信号的小波局部极大模线,分析了流化数、静床高及床料颗粒粒径对鼓泡流化床风帽压力波动信号奇异性的影响.结果表明:风帽压力波动信号的局部奇异性随着流化数的减小、静床高的增加和床料颗粒粒径的增大而有所增强,说明通过小波局部极大模线可以对风帽压力波动信号的局部奇异性进行描述,并且能够反映鼓泡流化床流化数、静床高和床料颗粒粒径变化时床内气固流动状态的变化.Modulus maxima lines of pressure fluctuation signals measured from the wind cap in a cold bubb- ling fluidized bed setup were calculated using wavelet modulus maxima method under conditions of differ- ent fluid.ization numbers, static bed heights and bed material particle sizes, so as to analyze the influence of above factors on the singularities of corresponding pressure fluctuation signals. Experimental results show that the local singularities of pressure fluctuation signals increase with decreasing fluidization number, ris- ing static bed height and increasing bed material particle size, indicating that the wavelet modulus maxima lines can be used to describe the local singularities of pressure fluctuation signals, and to reflect the gas- solid fluidization conditions in bubbling fluidized beds at different fluidization numbers, static bed heights and bed material particle sizes.

关 键 词：鼓泡流化床 风帽 压力波动 气固两相流 局部奇异性 

分 类 号：TK224[动力工程及工程热物理—动力机械及工程]