RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)

In view of the small number of data samples in the field test, a method of data expansion by using probability distribution and proxy model was proposed. This method determines the interval division and the number of sample points that need to be generated in each interval by analyzing the basic pro...

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Main Authors: YUAN FeiMeng, GENG HuaPin, WANG SiRui, SUO Bin, JIN Dong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2023-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.016
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author YUAN FeiMeng
GENG HuaPin
WANG SiRui
SUO Bin
JIN Dong
author_facet YUAN FeiMeng
GENG HuaPin
WANG SiRui
SUO Bin
JIN Dong
author_sort YUAN FeiMeng
collection DOAJ
description In view of the small number of data samples in the field test, a method of data expansion by using probability distribution and proxy model was proposed. This method determines the interval division and the number of sample points that need to be generated in each interval by analyzing the basic probability characteristics of the data. The sample points were generated based on the back propagation(BP) neural network method to build a semi-physical simulation system proxy model, and were selected by the histogram statistical method. Therefore, the additional sample points not only retain the probability characteristics of the original data, but also have the physical connotations. The expanded testing data improved the aircraft′s landing point coordinate information and the accuracy of the landing point data fusion model. The practicability and effectiveness of the method were verified through the field and semi-physical simulation experiments of the aircraft 534A respectively.
format Article
id doaj-art-323e7c3efa564059bcc461129b07d2eb
institution Kabale University
issn 1001-9669
language zho
publishDate 2023-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-323e7c3efa564059bcc461129b07d2eb2025-01-15T02:41:00ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692023-01-0187187842274764RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)YUAN FeiMengGENG HuaPinWANG SiRuiSUO BinJIN DongIn view of the small number of data samples in the field test, a method of data expansion by using probability distribution and proxy model was proposed. This method determines the interval division and the number of sample points that need to be generated in each interval by analyzing the basic probability characteristics of the data. The sample points were generated based on the back propagation(BP) neural network method to build a semi-physical simulation system proxy model, and were selected by the histogram statistical method. Therefore, the additional sample points not only retain the probability characteristics of the original data, but also have the physical connotations. The expanded testing data improved the aircraft′s landing point coordinate information and the accuracy of the landing point data fusion model. The practicability and effectiveness of the method were verified through the field and semi-physical simulation experiments of the aircraft 534A respectively.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.016Aircraft landing pointField testData expansionBasic probability allocationProxy modelData fusion
spellingShingle YUAN FeiMeng
GENG HuaPin
WANG SiRui
SUO Bin
JIN Dong
RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
Jixie qiangdu
Aircraft landing point
Field test
Data expansion
Basic probability allocation
Proxy model
Data fusion
title RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
title_full RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
title_fullStr RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
title_full_unstemmed RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
title_short RESEARCH ON EXPANSION METHOD OF TESTING DATA BASED ON PROBABILISTIC DISTRIBUTION FEATURES AND PROXY MODEL (MT)
title_sort research on expansion method of testing data based on probabilistic distribution features and proxy model mt
topic Aircraft landing point
Field test
Data expansion
Basic probability allocation
Proxy model
Data fusion
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.016
work_keys_str_mv AT yuanfeimeng researchonexpansionmethodoftestingdatabasedonprobabilisticdistributionfeaturesandproxymodelmt
AT genghuapin researchonexpansionmethodoftestingdatabasedonprobabilisticdistributionfeaturesandproxymodelmt
AT wangsirui researchonexpansionmethodoftestingdatabasedonprobabilisticdistributionfeaturesandproxymodelmt
AT suobin researchonexpansionmethodoftestingdatabasedonprobabilisticdistributionfeaturesandproxymodelmt
AT jindong researchonexpansionmethodoftestingdatabasedonprobabilisticdistributionfeaturesandproxymodelmt