On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis
On-line Sizing of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Signal Analysis
复制标题
通过声发射检测和信号分析对气动输送颗粒进行在线分级
DOI：
10.1109/tim.2014.2355653
复制
发表时间：
2015-05-01
影响因子：
5.6
通讯作者：
Yan, Yong
中科院分区：
文献类型：
--
作者：
Hu, Yonghui;Wang, Lijuan;Yan, Yong
准确测量气力输送粉状燃料的粒度分布对于实现燃煤和生物质发电厂的最佳燃烧效率和最低污染物排放至关重要。介绍了一种用于声发射在线连续测量颗粒尺寸分布的样机系统。该方法从金属波导流中突出的颗粒碰撞产生的脉冲声发射信号中提取颗粒尺寸信息。通过对颗粒撞击过程的数学建模，建立了颗粒尺寸与声发射峰值电压之间的关系。利用基于能量的峰值检测算法实现了声发射峰值电压的识别。利用玻璃微珠的实验结果表明，该系统能够从记录的声发射信号中分辨出不同尺寸的颗粒。由于冲击信号较强，且在时间域上分离效果较好，因此该系统在较高速度、较低浓度颗粒的精度方面表现较好。
Accurate measurement of the particle size distribution of pneumatically conveyed pulverized fuel is critical to achieving optimal combustion efficiency and minimum pollutant emissions at coal and biomass-fired power plants. This paper presents a prototype instrumentation system for the on-line continuous measurement of particle size distribution through acoustic emission (AE) detection. The proposed method extracts particle size information from the impulsive AE signals arising from impacts of particles with a metallic waveguide protruding into the flow. The relationship between the particle size and the peak AE voltage is established through mathematical modeling of the particle impact process. Identification of the peak AE voltage is achieved with an energy-based peak detection algorithm. Experimental results obtained with glass beads demonstrate the capability of the system to discriminate particles of different sizes from the recorded AE signals. The system performs better in terms of accuracy for higher speed, lower concentration particles as the impact signals are stronger and better separated in the time domain.