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Test Design Assistant

Monte Carlo and SimuMatic

In life data analysis and accelerated life testing analysis, the reliability engineer will typically select a model to fit data obtained from testing or usage in the field. However, in some situations, it is useful to generate simulated data sets containing values that are distributed according to a specified life distribution or model. For example, simulated data could be used to:

With Weibull++ and ALTA, you can use Monte Carlo simulation to produce data sets based on various user inputs, such as distribution type, distribution parameters and sample size. To create a data set, the software uses the cdf (cumulative distribution function) of the relevant distribution or model to solve for time given an unreliability value chosen from a uniform random distribution. The process is repeated with new random unreliability values until the desired number of data points is obtained.

The following utilities are available for generating and analyzing simulated data:

 

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