Five-hole probe and its neural network algorithm

WANG Hong-wei; CHEN Xiao-long

Chinese

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Five-hole probe and its neural network algorithm

更新时间：2026-07-07

- Five-hole probe and its neural network algorithm
- Vol. 25, Issue 2, (2010)
- 作者机构：
  
  北京航空航天大学能源与动力工程学院航空发动机气动热力科技重点实验室,北京,100191
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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WANG Hong-wei, CHEN Xiao-long. Five-hole probe and its neural network algorithm[J]. 2010, 25(2).
DOI：

WANG Hong-wei, CHEN Xiao-long. Five-hole probe and its neural network algorithm[J]. 2010, 25(2). DOI：

摘要

对于五孔探针的数据处理方法就行了详细的研究

发展了一种人工神经网络的数据处理方法

并将其与三维线性插值法进行了全面的对比

证明了所发展的神经网络法的精度更高

可靠性更好

而且经过简单改动就可以应用在其他多孔探针上.

Abstract

Data reduction methods for five-hole probe are investigated and a new method based on artificial neural network is developed.The developed method is then compared with a three-dimensional linear interpolation one.Conclusion is drawn that the neural network method is superior to the interpolation one in accuracy and robustness.The new developed method is also applicable to multi-hole probe through minor modifications.

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