• 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