摘要
针对锅炉氧量传感器故障率较高,测量误差大的情况,将D S证据理论和分批估计数据融合方法应用到信号处理中,并对2只传感器的输出进行处理,使结果能准确反映锅炉燃烧情况,具有可靠性高、鲁棒性好的优点。
The D-S evidential theory and batchedly estimating data fusion method are applied to oxygen signal processing. The outputs of two sensors are processed. The results can reasonably reflect the combustion conditions in furnace. The method has higher reliability and better robust.
出处
《电力科学与工程》
2003年第4期44-45,49,共3页
Electric Power Science and Engineering
关键词
锅炉
氧量传感器
数据融合
燃烧过程
排烟含氧量
测量
data fusion
D-S evidential theory
batchedly estimating
oxygen content measurement
