Algorithms for the Measurement of Liquid Metal Coolant Flow Velocity with Correlated Thermal Signals
The flow velocity of liquid metal coolant can be determined through the measurements of temperature fluctuation recorded by a pair of temperature sensors placed certain distance apart along the flow.Traditionally,this was done using a cross-correlation algorithm to estimate the transit time of the coolant,and thus its velocity.This widely used crosscorrelation algorithm,however,suffers from the ambiguity in reading of measurements.To alleviate this problem,the transfer function estimation approach was recently proposed which tends to give more accurate results.In this paper,we introduce a new algorithm that can further improve the accuracy in the transit time estimation using an adaptive inverse system model at a higher cost of computation.When real-time computation is a concern,we propose a second algorithm based on an adaptive filtering approach which makes a sound trade-off between accuracy and computation cost.This algorithm incurs less processing time than the first proposed algorithm with higher accuracy than the two aforementioned conventional algorithms.
Taleb Moazzeni Yingtao Jiang Jian Ma Ning Li
Dept.of Electrical & Computer EngineeringUniversity of Nevada Las Vegas Las Vegas,NevadaUSA Dept.of Mechanical Engineering University of Nevada Las Vegas Las Vegas,Nevada U SA Los Alamos National Lab Department of Energy Los Alamos,New Mexico USA
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26（万方平台首次上网日期，不代表论文的发表时间）