Planning inspections to minimize uncertainty in thickness monitoring data

The Kolmogorov-Smirnov test is applied to data containing uncertainty from thickness monitoring inspections.It is shown that the test can be a useful tool for structural corrosion assessment and decision-making under uncertainty.An example then demonstrates how the test can help decide how best to plan future inspections to reduce epistemic uncertainty.The test is applied to empirical thickness data taken from inspections and finds that reducing measurement incertitude is a more effective strategy than collecting additional sample data.