Weibull analysis is a well-known technique for understanding the reliability of physical assets over time and is not directly supported in Modeler. The analysis is based on understanding the failure distribution of physical assets such as bearing, switches, electrical components, pipes (think corrosion), and so on. The only inputs to the model are the times to failure. A Weibull failure distribution is fit to the empirical failure distribution. In the two-parameter Weibull model, there are Alpha and Beta parameters. The parameters give insights into the failures:
Beta < 1 indicates infant mortality
Beta = 1 indicates random failures
Beta > 1 indicates wear-out
Alpha is the number of cycles where approximately 68 percent of circuit boards would have failed (and can also be used to calculate the MTTF (mean time to failure). Lastly, the CDF (cumulative distribution function), which can be calculated directly from the Weibull parameters...