Application of neural networks to fluid measurements with a five-hole probe

被引：0
|
作者：
Uelschen, M [1 ]
Weidenfeller, J [1 ]
Lawerenz, M [1 ]
机构：
[1] Univ Gesamthsch Kassel, Fachbereich Maschinenbau, Inst Therm Energietech, Fachgebiet Stromungsmaschinen, D-34125 Kassel, Germany
来源：
TECHNISCHES MESSEN | 1999年 / 66卷 / 10期
关键词：
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
For determining the velocity vector with a five-hole pressure probe without rotation around the axis a previous calibration is necessary. A polynom is usually used for the analysis of the calibration. For getting a sufficient accuracy a minimum number of calibration points is needed for approximating the polynom coefficients. The paper describes a method based on artificial neural network which reduces the number of calibration points while simultaneous increase of the accuracy.
引用
收藏
页码：372 / 377
页数：6
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