Windchill Risk and Reliability Desktop Help > Windchill Weibull > LDA (Life Data Analysis) > Reliability Growth Analysis
Reliability Growth Analysis
Duane and Crow/AMSAA models are supported for reliability growth analysis. To calculate parameter values for the estimation method, Duane models use rank regression while Crow/AMSAA models use MLE (maximum likelihood estimation) or MMLE (modified maximum likelihood estimation). You use the plot generated by reliability growth analysis as an aid in forecasting failures as a function of either additional test time or calendar time, thereby making planning for redesign and test resources easier.
The following table describes the Weibull panes in which you enter data and view calculation results for a reliability growth data set.
Pane
Description
Weibull Parameters
Displays basic parameters required for reliability growth analysis. For more information, see Weibull Parameters Pane for a Reliability Growth Data Set.
Weibull Advanced
Displays advanced parameters required for reliability growth analysis. For more information, see Weibull Advanced Pane for a Reliability Growth Data Set.
Weibull Data Points
Displays the data to analyze. The options available depend on the data type. For more information, see Weibull Data Points Pane for a Reliability Growth Data Set.