Weibull++ Standard Folio Data 2P-Weibull: Difference between revisions
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<br><math> f(T)={ \frac{\beta }{\eta }}\left( {\frac{T}{\eta }}\right) ^{\beta -1}e^{-\left( { \frac{T}{\eta }}\right) ^{\beta }} \,\!</math> | <br><math> f(T)={ \frac{\beta }{\eta }}\left( {\frac{T}{\eta }}\right) ^{\beta -1}e^{-\left( { \frac{T}{\eta }}\right) ^{\beta }} \,\!</math> | ||
<br> | <br>Beta is the shape parameter or slope. Values less than one incicate a decreasing failure rate, greater then one an increasing failure rate, and when one a constant failure rate. Eta is the scale parameter, or characteristic life. Eta represents the time by which 63.2% of the units fail.<br> | ||
<br><math> \beta= </math> shape parameter (or slope). | <br><math> \beta= </math> shape parameter (or slope). | ||
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| align="center" valign="middle" | More Details | | align="center" valign="middle" | [http://www.reliawiki.com/index.php/The_Weibull_Distribution Get More Details...] | ||
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| align="center" valign="middle" | Examples | | align="center" valign="middle" | [http://www.reliawiki.com/index.php/Weibull_Examples_2P See Examples...] | ||
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Revision as of 17:50, 11 November 2011
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Reliability Web Notes |
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| Weibull Folio |
| Life Data Analysis |
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The Weibull distribution is one of the most widely used lifetime distributions in reliability engineering. It can model an increasing, decreasing and or constant failure rate behavior. The 2-parameter Weibull is the most commonly used form of the distribution. It's pdf is given by: |
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| Get More Details... |
| See Examples... |
