Reliability Growth Data Types
For reliability growth data analysis only.
There are many different ways that data for reliability growth analysis (RGA) may be collected. The type of data you collect determines which types of analyses you can perform and which statistical models you can use. This chapter describes all of the different types of data supported by the software. For more focused information about performing a particular type of analysis, you can go directly to the topic of interest. (See Traditional Reliability Growth Analysis; Reliability Growth Projections, Planning and Management (Crow Extended Model); or Repairable Systems Analysis.)
There are two general types of data that can be analyzed with the software: developmental and fielded data. Developmental data are obtained from reliability growth testing conducted in-house, during the stages of development for a particular product. Fielded data, on the other hand, are obtained from repairable systems operating in the field under typical customer usage conditions. To provide a reference of all your options, the following table shows the three different (but related) types of analysis you can perform in Weibull++, the statistical models that are available for each, and the data types that can be used.
The following topics describe all of the data types supported by Weibull++.