DocumentCode
1993218
Title
Application of Ant Colony Algorithm in the Optimization of the Time Environmental Conversion Factor of the Reliability Models
Author
Li Qiang ; Yuan Xiaolin ; Yang Jiapei
Author_Institution
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin
Volume
2
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
794
Lastpage
798
Abstract
Based upon the AMSAA model which has been widely used in engineering, a method of defining the time environmental conversion factor was proposed through optimization process, which made full used of the failure data from the same kind of products or the similar products in their development tests, and it made all the development test items into s few typical environment stress types in case the development test include more items. The ant colony algorithm is used in the optimization of the time environmental conversion factor of the AMSAA models. The steps of determining the optimal time environmental conversion factor are listed. And a practical engineering application example is illustrated. The result shows that the reliability evaluation result obtained from the presented method is closer to the practical reliability level. And this method offers one reasonable way for integrated reliability evaluation with the failure data in the stage of product development.
Keywords
environmental factors; optimisation; product development; reliability theory; AMSAA model; ant colony algorithm; development test items; optimization; product development; reliability evaluation; reliability models; time environmental conversion factor; Aerospace engineering; Ant colony optimization; Data engineering; Educational technology; Electronic equipment testing; Environmental factors; Geoscience and remote sensing; Product development; Reliability engineering; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.383
Filename
5070480
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