Life data analysis helps in predicting product reliability and identifying failure patterns by analyzing time-to-failure data.
The Weibull distribution is widely used in life data analysis to model failure rates and reliability.
ALT speeds up failure times by exposing products to extreme conditions, allowing analysts to estimate real-world performance.
Reliability growth modeling helps in predicting how system reliability improves over time with design changes and corrective actions.
Censored data refers to incomplete failure time data, often due to testing ending before all units fail.
MTTF applies to non-repairable systems and measures the average lifespan, while MTBF applies to repairable systems and measures reliability between failures.
