Template:ALTA SimuMatic Example: Difference between revisions

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SimuMatic is a simulation tool that can assist in designing accelerated tests. The following example illustrates a potential use of SimuMatic.
SimuMatic is a simulation tool that can assist in designing accelerated tests. The following example illustrates a potential use of SimuMatic.


A reliability engineer wants to design an accelerated test for an electronic component in order to demonstrate a 90% reliability at 1 year with a 90% confidence (1-sided limit). The engineer has 3 months available for testing and wants to determine the required sample size in the test using SimuMatic. The accelerated test will be a temperature test at 350K, 375K and 400K with a use temperature of 300K. The Arrhenius model is chosen as the life vs. stress relationship and the Weibull as the failure distribution.


A reliability engineer wants to design an accelerated test for an electronic component in order to demonstrate a 90% reliability at 1 year with a 90% confidence (1-sided limit). The engineer has 3 months available for testing and wants to determine the required sample size in the test.
The first thing that needs to be determined in SimuMatic is the parameters of the chosen Arrhenius-Weibull model.

Revision as of 21:24, 20 March 2012

SimuMatic Example

SimuMatic is a simulation tool that can assist in designing accelerated tests. The following example illustrates a potential use of SimuMatic.

A reliability engineer wants to design an accelerated test for an electronic component in order to demonstrate a 90% reliability at 1 year with a 90% confidence (1-sided limit). The engineer has 3 months available for testing and wants to determine the required sample size in the test using SimuMatic. The accelerated test will be a temperature test at 350K, 375K and 400K with a use temperature of 300K. The Arrhenius model is chosen as the life vs. stress relationship and the Weibull as the failure distribution.

The first thing that needs to be determined in SimuMatic is the parameters of the chosen Arrhenius-Weibull model.