Monte Carlo Simulation
In addition to using Monte Carlo simulation to generate data sets for standard life data analysis, Weibull++ provides two new utilities that make it easy to use simulation for a wide variety of inquiries.
Risk Analysis and Probabilistic Design
You can now use the Monte Carlo simulation tool to perform relationship-based simulations. The new "User Defined" distribution feature allows you to specify an equation relating different random variables. You can then determine the joint pdf for the simulated data set. This type of simulation has many applications in probabilistic design, risk analysis, quality control, etc. For example, if the height and length of a rectangle are distributed, so is the area. To find the distribution of the area, you can generate random height and length values based on their corresponding distributions and then apply the equation A = H x L. A distribution can then be fitted to the resulting set of area values.
SimuMatic®
With Version 7, Weibull++ integrates the SimuMatic utility, which can be used to perform a large number of reliability analyses on data sets that have been created using simulation. You can use this utility to investigate a variety of reliability questions, including analyses to a) better understand life data analysis concepts, b) experiment with the influences of sample sizes and censoring schemes on analysis methods, c) construct simulation-based confidence bounds, d) better understand the concepts behind confidence intervals, e) design reliability tests, and much more!
