	Related Topics:
	Weibull++ Standard Folio

ALTA Standard Folio

In basic life data analysis, units are tested under normal use conditions in order to obtain information about a product’s failure behavior. In some cases, however, it is desirable to obtain this information more quickly than is possible with use level testing. For example, products with long lifetimes or short periods between design and release, as well as products that are operated continuously, may produce results too slowly with basic life data analysis.

The ALTA standard folio is used to perform quantitative accelerated life testing data analysis. In this analysis, the engineer extrapolates a product’s failure behavior at normal conditions from life data obtained at accelerated stress levels. Since products fail more quickly at accelerated stress levels, this sort of analysis allows the engineer to obtain reliability information about a product (e.g., mean life, probability of failure at a specific time, etc.) in a shorter time. The ReliaWiki resource portal has more information on the basics of accelerated life testing at: http://www.ReliaWiki.org/index.php/Introduction_to_Accelerated_Life_Testing.

The following topics describe how to use the ALTA standard folio:

Setting up an ALTA standard folio.
How to analyze life data, including:
- Using the control panel.
- Generating ALTA plots.
- Performing reliability calculations via the Quick Calculation Pad (QCP).
Example of a single-stress accelerated life testing data analysis.
Example of a two-stress accelerated life testing data analysis.
Working with time-varying stresses, including:
- Using stress profiles to represent time-varying stresses.
- Example of an analysis with time-varying stresses.
Additional analysis tools, including:
- Choosing a life distribution using the Distribution Wizard.
- Adding and removing stress and subset ID columns.
- Performing a likelihood ratio test.
- Transferring data to a Weibull++ standard folio.
- Converting stress values from one unit of measurement to another.
What-if analysis methods, including: