Weibull++ Standard Folio Data Lognormal: Difference between revisions
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::<math>f({T}')=\frac{1}{{{\sigma }_{{{T}'}}}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{{{T}^{\prime }}-{\mu }'}{{{\sigma }_{{{T}'}}}} \right)}^{2}}}}</math> | ::<math>f({T}')=\frac{1}{{{\sigma }_{{{T}'}}}\sqrt{2\pi }}{{e}^{-\tfrac{1}{2}{{\left( \tfrac{{{T}^{\prime }}-{\mu }'}{{{\sigma }_{{{T}'}}}} \right)}^{2}}}}</math> | ||
<br> where, | <br> where, | ||
<br><math>{T}'=\ln (T)</math> and | <br><math>{T}'=\ln (T)</math><br> | ||
the natural logarithm of the time-to-failure and | |||
<br><math>\mu' \text{ and } \sigma_{T'}</math>\ | <br><math>\mu' \text{ and } \sigma_{T'}</math>\ | ||
are the mean and standard deviation of of the natural logarithms of the times-to-failure. | are the mean and standard deviation of of the natural logarithms of the times-to-failure. |
Revision as of 19:08, 11 November 2011
Reliability Web Notes |
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Weibull Folio |
Life Data Analysis |
The lognormal distribution is commonly used to model the lives of units whose failure modes are of a fatigue-stress nature. It has an increasing failure rate behavior and then decreasing towards the end of life. |
The lognormal distribution is a two-parameter distribution with parameters
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See Examples... |