Failure Probability
Statistical distributions applied to electronic life data allow for the prediction of failure rates over time. Reliability engineers use weibull defect modeling to analyze the results of accelerated life tests on circuit boards. This method identifies the specific time when a population of parts is likely to fail.
It provides a way to distinguish between infant mortality and wear-out failures.
Life Distribution
Mathematical curves describe the survival of a group of products under stress. The use of weibull defect modeling helps in calculating the mean time to failure for complex assemblies. This information is used to set warranty periods and maintenance schedules.
Such a model is flexible enough to fit many different types of failure mechanisms.
Statistical Yield
Quality control teams apply these tools to understand the variability in their manufacturing process. If the slope of the curve changes, weibull defect modeling indicates a shift in the production quality or a new type of defect. This early warning system allows the factory to correct issues before they become a major problem.
It is a fundamental part of the Six Sigma approach to manufacturing. The model provides the data needed to make informed decisions about product reliability.
