Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data
Joint Authors
Du, Yufeng
Wu, Long
Wang, Xunnian
Lin, Jun
Xiong, Neng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Hyperbola fitting of test data is an extremely important process in turbulence level measurement test in wind tunnels.
The solution of the overdetermined equations (SOE) method is often used to solve hyperbola fitting parameters to obtain turbulence level.
However, due to unsteady flow characteristics, the SOE method often results in overfitting phenomena, which makes it impossible to solve turbulence level accurately.
This paper proposes using the constrained least-squares (CLS) method to convert the problem of hyperbola fitting of test data into the inequality constrained optimization problem and then using the Lagrange programming neural network (LPNN) method to solve turbulence level iteratively.
The stability of the LPNN method is analysed, and three sets of typical turbulence level measurement test data are processed using the LPNN method.
The results verify the feasibility of applying the LPNN method to iteratively solve the turbulence level of wind tunnels.
American Psychological Association (APA)
Du, Yufeng& Wu, Long& Wang, Xunnian& Lin, Jun& Xiong, Neng. 2020. Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1196078
Modern Language Association (MLA)
Du, Yufeng…[et al.]. Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1196078
American Medical Association (AMA)
Du, Yufeng& Wu, Long& Wang, Xunnian& Lin, Jun& Xiong, Neng. Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1196078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196078