Weibull Distribution Functions: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
(Created page with '<noinclude>{{Navigation box}} ''This article also appears in the Life Data Analysis Reference and [[Distributions_Used_in_Accelerated_Testing|Acceler…')
 
No edit summary
Line 1: Line 1:
<noinclude>{{Navigation box}}
<noinclude>{{Navigation box}}
''This article also appears in the [[The_Weibull_Distribution|Life Data Analysis Reference]] and [[Distributions_Used_in_Accelerated_Testing|Accelerated Life Testing Data Analysis Reference]] books.'' </noinclude>
''This article also appears in the [[The_Weibull_Distribution|Life Data Analysis Reference]] and [[Distributions_Used_in_Accelerated_Testing|Accelerated Life Testing Data Analysis Reference]] books.'' </noinclude>
=== The Median ===
=== The Median ===
The median, <math> \breve{T}</math>, of the Weibull distribution is given by:  
The median, <math> \breve{T}</math>, of the Weibull distribution is given by:  

Revision as of 02:27, 7 August 2012

This article also appears in the Life Data Analysis Reference and Accelerated Life Testing Data Analysis Reference books.

The Median

The median, [math]\displaystyle{ \breve{T} }[/math], of the Weibull distribution is given by:

[math]\displaystyle{ \breve{T}=\gamma +\eta \left( \ln 2\right) ^{\frac{1}{\beta }} }[/math]

The Mode

The mode, [math]\displaystyle{ \tilde{T} }[/math], is given by:

[math]\displaystyle{ \tilde{T}=\gamma +\eta \left( 1-\frac{1}{\beta }\right) ^{\frac{1}{\beta }} }[/math]

The Standard Deviation

The standard deviation, σT, is given by:

[math]\displaystyle{ \sigma _{T}=\eta \cdot \sqrt{\Gamma \left( {\frac{2}{\beta }}+1\right) -\Gamma \left( {\frac{1}{ \beta }}+1\right) ^{2}} }[/math]

The Weibull Reliability Function

The equation for the 3-parameter Weibull cumulative density function, cdf, is given by:

[math]\displaystyle{ F(t)=1-e^{-\left( \frac{t-\gamma }{\eta }\right) ^{\beta }} }[/math].

This is also referred to as unreliability and designated as [math]\displaystyle{ Q(t) \,\! }[/math] by some authors.

Recalling that the reliability function of a distribution is simply one minus the cdf, the reliability function for the 3-parameter Weibull distribution is then given by:

[math]\displaystyle{ R(t)=e^{-\left( { \frac{t-\gamma }{\eta }}\right) ^{\beta }} }[/math]

The Weibull Conditional Reliability Function

The 3-parameter Weibull conditional reliability function is given by:

[math]\displaystyle{ R(t|T)={ \frac{R(T+t)}{R(T)}}={\frac{e^{-\left( {\frac{T+t-\gamma }{\eta }}\right) ^{\beta }}}{e^{-\left( {\frac{T-\gamma }{\eta }}\right) ^{\beta }}}} }[/math]

or:

[math]\displaystyle{ R(t|T)=e^{-\left[ \left( {\frac{T+t-\gamma }{\eta }}\right) ^{\beta }-\left( {\frac{T-\gamma }{\eta }}\right) ^{\beta }\right] } }[/math]

These gives the reliability for a new mission of [math]\displaystyle{ t \,\! }[/math] duration, having already accumulated [math]\displaystyle{ T \,\! }[/math] time of operation up to the start of this new mission, and the units are checked out to assure that they will start the next mission successfully. It is called conditional because you can calculate the reliability of a new mission based on the fact that the unit or units already accumulated hours of operation successfully.

The Weibull Reliable Life

The reliable life, [math]\displaystyle{ T_{R} \,\! }[/math], of a unit for a specified reliability, R, starting the mission at age zero, is given by:

[math]\displaystyle{ T_{R}=\gamma +\eta \cdot \left\{ -\ln ( R ) \right\} ^{ \frac{1}{\beta }} }[/math]

This is the life for which the unit/item will be functioning successfully with a reliability of R. If R=0.50, then [math]\displaystyle{ T_{R}=\breve{T} }[/math], the median life, or the life by which half of the units will survive.

The Weibull Failure Rate Function

The Weibull failure rate function, [math]\displaystyle{ \lambda(t) \,\! }[/math], is given by:

[math]\displaystyle{ \lambda \left( t\right) = \frac{f\left( t\right) }{R\left( t\right) }=\frac{\beta }{\eta }\left( \frac{ t-\gamma }{\eta }\right) ^{\beta -1} }[/math]