Additional Weibull Features
Windchill Weibull includes a number of additional functions and features. A brief listing of other topics of interest is shown below. For more information about these features, see the help or guide for Windchill Risk and Reliability.
You can specify a threshold parameter, which is also known as a location parameter or minimum life parameter, to set a minimum life value for the failure data set, signifying a guaranteed failure-free period at the beginning of the cycle. Typically used with the Weibull distribution, a threshold parameter straightens a plot of data values if the data shows a pronounced curve compared to the failure distribution line.
You can perform reliability growth analysis, which tracks the increase in the reliability of a product over time. By tracking reliability, mean life, or failure rate over time, you can predict future reliability values based on the current rate of growth of the measurement of interest. Weibull module uses the Duane/Crow-AMSAA model to perform reliability growth analysis.
You can analyze data without specifying an underlying distribution using non-parametric life data analysis. The Weibull module supports the Kaplan-Meier and standard actuarial methods.
You can perform degradation analysis, which forecasts future failures based on measurements of degradation or performance over time. The Weibull module supports six degradation models, including Linear, Exponential, and Power.
You can use the General Statistics Calculator to run a number of different statistical calculations, including Binomial, Chi-Squared, Life-Usage Interaction, Mean and Eta, Poisson, Random Point Interaction, Strength-Load Interaction, and Student T.
You can use the Test Planning Calculator to determine the number of components to test or the amount of time for which to test. The Test Planning Calculator supports three methods: Parametric Binomial, Non-Parametric Binomial, and Exponential Chi-Squared.
You can use the Summary Calculator to perform additional calculations on data sets that are analyzed based on parametric distributions. This applies to all but non-parametric life data sets. These additional calculations include Standard Probability, Conditional Probability, Failure Rate, Warranty Time, Time to Failure, and more.
You can use the Optimal Replacement Wizard to optimize your component replacement strategy based on minimizing system downtime or the overall cost of the system over the long term.
You can link Weibull data to items inWindchill Prediction and Windchill RBD to make the results calculated for reliability predictions and block diagrams more accurate.