Life data analysis, or life distribution analysis, is the process of analyzing the lifespan of a product, component, or system to improve quality and reliability. For example, you can observe failure rates over time to predict when a computer component might fail. This analysis then helps you determine the best material and manufacturing process for the product, increasing the quality and reliability of the product. Decisions on warranty periods and advertising claims can also be more accurate.
With the Life Distribution platform, you can analyze censored data in which some time observations are unknown. And if there are potentially multiple causes of failure, you can analyze the competing causes to estimate which cause is more influential.
You can use the Reliability Test Plan and Reliability Demonstration calculators to choose the appropriate sample sizes for reliability studies. The calculators are found at DOE > Sample Size and Power.