Template:Alta exponential distribution: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 16: Line 16:
::*<span class="texhtml">''m'' = </span> mean time between failures, or to a failure.  
::*<span class="texhtml">''m'' = </span> mean time between failures, or to a failure.  
::*<span class="texhtml">''T'' = </span> operating time, life, or age, in hours, cycles, miles, actuations, etc. This distribution requires the estimation of only one parameter, <span class="texhtml">λ</span> , for its application.
::*<span class="texhtml">''T'' = </span> operating time, life, or age, in hours, cycles, miles, actuations, etc. This distribution requires the estimation of only one parameter, <span class="texhtml">λ</span> , for its application.
{{alta statistical properties summary}}

Revision as of 01:08, 16 August 2012

The Exponential Distribution

The exponential distribution is a very commonly used distribution in reliability engineering. Due to its simplicity, it has been widely employed, even in cases where it doesn't apply. The exponential distribution is used to describe units that have a constant failure rate. The single-parameter exponential pdf is given by:


[math]\displaystyle{ \begin{align} & f(T)= \lambda {{e}^{-\lambda T}}=\frac{1}{m}{{e}^{-\tfrac{1}{m}T}} \\ & T\ge 0,\lambda \gt 0,m\gt 0 \end{align} }[/math]


where:

  • λ = constant failure rate, in failures per unit of measurement (e.g. failures per hour, per cycle, etc.).
  • [math]\displaystyle{ \lambda =\tfrac{1}{m} }[/math].
  • m = mean time between failures, or to a failure.
  • T = operating time, life, or age, in hours, cycles, miles, actuations, etc. This distribution requires the estimation of only one parameter, λ , for its application.