摘要
目的为了有效地消除多传感器测量到的锅炉汽包水位信号间的差异.方法采用了水的波动理论,并引入脉动假设,对不同测点的信号的差异进行了分析.分析表明各传感器信号间的差异包括因传感器安装位置不同引起的位置差异和复杂的表面波差异,前者通过求均值的方法来消除,后者通过脉动的方差特征找出截止频率并设计低通滤波器进行消除.结果得出了一个可以确定汽包水位因为表面波动成分的计算方法.结论通过了与传统处理方法的对比,证明此方法快速有效,且符合工程精度的要求,初步解决了汽包水位多测点测量下差异性信号滤波的技术难题.
Wave action of drum level can be observed from boiler operation field in domestic and foreign plants. Field drum level data measured from a HRSG of a combined-cycle power plant show that there exist obvious diversities among multi-sensor signals from distributed measure points. Low-pass filter and mean filter fail to eliminate the diversities. In this study, conception of impulsive motion is introduced and the concerned diversities are analyzed in detail; conclusions are reached that the diversities include position diversity decided by sensor position and complex surface-wave diversity; position diversity can be eliminated by calculating mean of sensor signals, and the surface-wave diversity can be eliminated by low pass filter with cut-off frequency gained by observing signal variance after gradually removing low frequency part of signals. This paper presents the effective approaches to eliminate the diversities of multi-sensor signals.
出处
《沈阳建筑大学学报（自然科学版）》
EI
CAS
2006年第1期141-144,共4页
Journal of Shenyang Jianzhu University：Natural Science
基金
美国GE爱迪生基金项目(200310)
关键词
锅炉
汽包水位
差异性
表面波
滤波
boiler, drum level, diversity, surface wave, filter
