Five-hole probe and its neural network algorithm

Hong Wei Wang; Xiao Long Chen

Five-hole probe and its neural network algorithm

Hong Wei Wang^*
, Xiao Long Chen

^*Corresponding author for this work

School of Energy and Power Engineering

Beihang University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Pages (from-to)	417-423
Number of pages	7
Journal	Hangkong Dongli Xuebao/Journal of Aerospace Power
Volume	25
Issue number	2
State	Published - Feb 2010

Keywords

Accuracy
Data reduction
Five-hole probe
Neural network

Cite this

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title = "Five-hole probe and its neural network algorithm",

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.",

keywords = "Accuracy, Data reduction, Five-hole probe, Neural network",

author = "Wang, \{Hong Wei\} and Chen, \{Xiao Long\}",

year = "2010",

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volume = "25",

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journal = "Hangkong Dongli Xuebao/Journal of Aerospace Power",

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T1 - Five-hole probe and its neural network algorithm

AU - Wang, Hong Wei

AU - Chen, Xiao Long

PY - 2010/2

Y1 - 2010/2

N2 - 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.

AB - 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.

KW - Accuracy

KW - Data reduction

KW - Five-hole probe

KW - Neural network

UR - https://www.scopus.com/pages/publications/77950345055

M3 - 文章

AN - SCOPUS:77950345055

SN - 1000-8055

VL - 25

SP - 417

EP - 423

JO - Hangkong Dongli Xuebao/Journal of Aerospace Power

JF - Hangkong Dongli Xuebao/Journal of Aerospace Power

IS - 2

ER -

Five-hole probe and its neural network algorithm

Abstract

Keywords

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