Template:Demonstration test design: Difference between revisions

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==Demonstration Test Design==
#REDIRECT [[Reliability Test Design]]
Frequently, a manufacturer will have to demonstrate that a certain product has met a goal of a certain reliability at a given time with a specific confidence.  Often, it will be desired to demonstrate that this goal has been met with a zero-failure test.  In order to design and conduct such a test, something about the behavior of the product will need to be known, i.e. the shape parameter of the product's life distribution. Beyond this, nothing more about the test is known, and usually the engineer designing the test will have to study the financial trade-offs between the number of units and amount of test time needed to demonstrate the desired goal.  In cases like this, it is useful to have a ``carpet plot'' that shows the possibilities of how a certain specification can be met.
 
This methodology requires the use of the cumulative binomial distribution in addition to the assumed distribution of the products' lifetimes. Not only does the life distribution of the products need to be assumed beforehand, but a reasonable assumption of the distribution's shape parameter must be provided as well.  Additional information that must be supplied includes the reliability to be demonstrated, the confidence level at which the demonstration takes place, the acceptable number of failures and either the number of available units or the amount of available test time. The output of this analysis can be the amount of time required to test the available units or the required number of units that need to be tested during the available test time.
 
{{reliability demonstration}}
 
{{mttf demonstration}}
 
{{nonparametric test design}}
 
'''Example 1:'''
{{Example: Weibull Distribution Example-Demostrate Reliability}}
 
 
'''Example 2:'''
{{Example: Weibull Distribution Example-Demostrate MTTF}}

Latest revision as of 08:02, 29 June 2012