IEC 61649:2008

IEC 61649:2008

August 2008
International standard Current

Weibull analysis

IEC 61649:2008 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. The main changes with respect to the previous edition are as follows: the title has been shortened and simplified to read "Weibull analysis"; and provision of methods for both analytical and graphical solutions have been added.

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Main informations

Collections

International IEC standards

Publication date

August 2008

Number of pages

138 p.

Reference

IEC 61649:2008

ICS Codes

03.120.01   Quality in general
03.120.30   Application of statistical methods
Sumary
Weibull analysis

IEC 61649:2008 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. The main changes with respect to the previous edition are as follows: the title has been shortened and simplified to read "Weibull analysis"; and provision of methods for both analytical and graphical solutions have been added.
Replaced standards (1)
IEC 61649:1997
May 1997
International standard Cancelled
Goodness-of-fit tests, confidence intervals and lower confidence limits for Weibull distributed data

Provides numerical methods to complement graphical techniques in performing a goodness-of-fit test for Weibull distributed times to failure and gives an approximate procedure to obtain confidence intervals for the parameters of the two-parameter Weibull distribution when these are estimated by maximum likelihood. Applicable whenever a random sample of items is subjected to a test of times to failure for the purpose of estimating measures of reliability performance of the population from which these items were drawn.

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