FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA
Aiming at the problem of long time of vehicle engine reliability life test,the grey system forecasting theory is used to forecast vehicle engine reliability life test data,and the unbiased grey GM( 1,1) power model for engine reliability life test data is proposed. By examining the overall distribut...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Strength
2017-01-01
|
Series: | Jixie qiangdu |
Subjects: | |
Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.034 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841535164341026816 |
---|---|
author | TAN GuanJun WANG JiaYang |
author_facet | TAN GuanJun WANG JiaYang |
author_sort | TAN GuanJun |
collection | DOAJ |
description | Aiming at the problem of long time of vehicle engine reliability life test,the grey system forecasting theory is used to forecast vehicle engine reliability life test data,and the unbiased grey GM( 1,1) power model for engine reliability life test data is proposed. By examining the overall distribution function equality of test data sequence and forecasted data sequence,it is confirmed that the proposed unbiased grey GM( 1,1) power model can be effectively used for the prediction of engine reliability life test data. The example results show that the grey theory forecasting method for the prediction of engine reliability life test data has high precision,and distribution function parameters of test data sequence and forecasted data sequence are very close. Using the proposed method can shorten engine reliability life test time and save test cost. |
format | Article |
id | doaj-art-22245dcff1d84819b43c58fe23ea6426 |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2017-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-22245dcff1d84819b43c58fe23ea64262025-01-15T02:34:30ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-013969770130598830FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATATAN GuanJunWANG JiaYangAiming at the problem of long time of vehicle engine reliability life test,the grey system forecasting theory is used to forecast vehicle engine reliability life test data,and the unbiased grey GM( 1,1) power model for engine reliability life test data is proposed. By examining the overall distribution function equality of test data sequence and forecasted data sequence,it is confirmed that the proposed unbiased grey GM( 1,1) power model can be effectively used for the prediction of engine reliability life test data. The example results show that the grey theory forecasting method for the prediction of engine reliability life test data has high precision,and distribution function parameters of test data sequence and forecasted data sequence are very close. Using the proposed method can shorten engine reliability life test time and save test cost.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.034EngineReliabilityLife test dataGrey forecast method |
spellingShingle | TAN GuanJun WANG JiaYang FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA Jixie qiangdu Engine Reliability Life test data Grey forecast method |
title | FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA |
title_full | FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA |
title_fullStr | FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA |
title_full_unstemmed | FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA |
title_short | FORECASTING METHOD OF VEHICLE ENGINE RELIABILITY LIFE TEST DATA |
title_sort | forecasting method of vehicle engine reliability life test data |
topic | Engine Reliability Life test data Grey forecast method |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.03.034 |
work_keys_str_mv | AT tanguanjun forecastingmethodofvehicleenginereliabilitylifetestdata AT wangjiayang forecastingmethodofvehicleenginereliabilitylifetestdata |