61649-2008
Analyse de Weibull (Edition 2.0)

Weibull analysis (Edition 2.0)

61649-2008 发布历史

This International Standard provides methods for analysing data from a Weibull distribution using continuous parameters such as time to failure@ cycles to failure@ mechanical stress@ etc. This standard is applicable whenever data on strength parameters@ e.g. times to failure@ cycles@ stress@ etc. are available for a random sample of items operating under test conditions or in-service@ for the purpose of estimating measures of reliability performance of the population from which these items were drawn. This standard is applicable when the data being analysed are independently@ identically distributed. This should either be tested or assumed to be true (see IEC 60300-3-5). In this standard@ numerical methods and graphical methods are described to plot data@ to make a goodness-of-fit test@ to estimate the parameters of the two- or three-parameter Weibull distribution and to plot confidence limits. Guidance is given on how to interpret the plot in terms of risk as a function of time@ failure modes and possible weak population and time to first failure or minimum endurance.

61649-2008由IEC - International Electrotechnical Commission 发布于 2008-08-01，并于 2008-08-14 实施。

61649-2008 发布之时，引用了标准

• 142 

61649-2008的历代版本如下：

• 1997年05月01日 61649-1997 Goodness-of-Fit Tests@ Confidence Intervals and Lower Confidence Limits for Weibull Distributed Data (Edition 1.0)
• 2008年08月01日 61649-2008 Analyse de Weibull (Edition 2.0)

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标准号

61649-2008

发布日期

2008年08月01日

实施日期

2008年08月14日

废止日期

无

中国标准分类号

/

国际标准分类号

/

发布单位

IEC - International Electrotechnical Commission

引用标准

142

适用范围

This International Standard provides methods for analysing data from a Weibull distribution using continuous parameters such as time to failure@ cycles to failure@ mechanical stress@ etc. This standard is applicable whenever data on strength parameters@ e.g. times to failure@ cycles@ stress@ etc. are available for a random sample of items operating under test conditions or in-service@ for the purpose of estimating measures of reliability performance of the population from which these items were drawn. This standard is applicable when the data being analysed are independently@ identically distributed. This should either be tested or assumed to be true (see IEC 60300-3-5). In this standard@ numerical methods and graphical methods are described to plot data@ to make a goodness-of-fit test@ to estimate the parameters of the two- or three-parameter Weibull distribution and to plot confidence limits. Guidance is given on how to interpret the plot in terms of risk as a function of time@ failure modes and possible weak population and time to first failure or minimum endurance.