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    Fitting Creep-Rupture Life Distribution Using Accelerated Life Testing Data

    Source: Journal of Pressure Vessel Technology:;2000:;volume( 122 ):;issue: 004::page 482
    Author:
    M. Zuo
    ,
    S. Chiovelli
    ,
    Y. Nonaka
    DOI: 10.1115/1.1310164
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper comments on using the Larson-Miller parameter to fit the creep-rupture life distribution as a function of temperature and stress. The commonly used least-squares linear regression method assumes that the creep-rupture life follows the lognormal distribution. Most engineering literature does not discuss the validity of this assumption. In this paper, we outline the procedure for validating two critical assumptions when the least-squares method is used. The maximum likelihood method is suggested as an alternative and more powerful method for fitting creep-rupture life distributions. Examples are given to demonstrate the use of these two methods using Microsoft Excel and the LIFEREG procedure in SAS. [S0094-9930(00)00504-7]
    keyword(s): Creep , Stress , Fittings , Rupture , Temperature , Equations AND Accelerated life testing ,
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      Fitting Creep-Rupture Life Distribution Using Accelerated Life Testing Data

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    https://yetl.yabesh.ir/yetl1/handle/yetl/124185
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    contributor authorM. Zuo
    contributor authorS. Chiovelli
    contributor authorY. Nonaka
    date accessioned2017-05-09T00:03:10Z
    date available2017-05-09T00:03:10Z
    date copyrightNovember, 2000
    date issued2000
    identifier issn0094-9930
    identifier otherJPVTAS-28404#482_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124185
    description abstractThis paper comments on using the Larson-Miller parameter to fit the creep-rupture life distribution as a function of temperature and stress. The commonly used least-squares linear regression method assumes that the creep-rupture life follows the lognormal distribution. Most engineering literature does not discuss the validity of this assumption. In this paper, we outline the procedure for validating two critical assumptions when the least-squares method is used. The maximum likelihood method is suggested as an alternative and more powerful method for fitting creep-rupture life distributions. Examples are given to demonstrate the use of these two methods using Microsoft Excel and the LIFEREG procedure in SAS. [S0094-9930(00)00504-7]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFitting Creep-Rupture Life Distribution Using Accelerated Life Testing Data
    typeJournal Paper
    journal volume122
    journal issue4
    journal titleJournal of Pressure Vessel Technology
    identifier doi10.1115/1.1310164
    journal fristpage482
    journal lastpage487
    identifier eissn1528-8978
    keywordsCreep
    keywordsStress
    keywordsFittings
    keywordsRupture
    keywordsTemperature
    keywordsEquations AND Accelerated life testing
    treeJournal of Pressure Vessel Technology:;2000:;volume( 122 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian