Data Analysis
Weibull & Life Data Analysis
Turn test and field lifetime data into reliability estimates with a defensible statistical basis.
Purpose & Benefit
When This Activity Helps
Use during qualification or field investigation when failures and surviving units need to be considered together. It helps quantify reliability, compare populations and understand uncertainty.
Project Information
Typical Inputs
The scope is tailored to the available evidence. Useful inputs include:
- Failure times and surviving or censored units
- Failure modes and exposure histories
- Sample selection and test or field conditions
Engineering Approach
How SPACEREL Supports Your Project
SPACEREL assesses data quality and fits distributions such as Weibull, lognormal or exponential where appropriate. Censoring, confidence bounds and mixed failure modes are considered. A distribution shape alone is not treated as proof of a physical mechanism.
Documented Outcomes
Typical Deliverables
Deliverables are agreed before work starts and can include:
- Life-data analysis and model assessment
- Reliability estimates and confidence bounds
- Data limitations and further evidence recommendations
Reliability Toolkit
Related Calculators
Evaluate supplied life-model parameters. Distribution fitting, censoring and confidence bounds require a separate life-data analysis.
Weibull Reliability & B-Life
Calculate Weibull reliability at time and B-life percentile from beta and characteristic life eta.
Open CalculatorMTBF, FIT & Reliability
Convert MTBF or MTTF into reliability, failure probability, constant hazard rate and FIT under an exponential life model.
Open CalculatorMethods & Evidence
Selected References
- NIST/SEMATECH: Assessing Product Reliability
Reliability distributions, life-data analysis and test-planning guidance.
Project Context
Where This Activity Can Help
Explore the relevant lifecycle stages.