Survival Data Analysis
Survival data analysis, also referred to as life data analysis or Weibull analysis, typically is concerned with determining a life distribution that describes the times-to-failure of an item. Survival data analysis is conducted with or without the aid of statistical distributions.
Survival data is generated in-house from reliability (and possibly other) tests and in the field. In-house data is a good immediate source of reliability information although expensive to obtain and limited in quantity. Field data is not usually as controlled as in-house data and is often not focused on collecting reliability information.
Survival Data Analysis Features
- Can provide non-parametric results.
- Can provide parametric results.
- Accounts for failed and non-failed units.
Survival Data Analysis Uses
- Support equipment overhaul decisions.
- Determine failure probability of parts, assemblies, or systems.
- Define new maintenance policies or intervals.
- Risk mitigation.
- System performance trending.