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2018
Conference Paper
Titel
An approach to the question "how to account for human error in MAPOD?"
Abstract
To reduce the experimental efforts necessary for decent Probability of Detection (POD) studies, Model-Assisted POD (MAPOD) has evolved in recent years with efficient simulation techniques at hand to properly account for most of the relevant influencing inspection parameters. As in many industries manual UT is still high-valued, the human factor is one of the key issues for NDT reliability. Thus, the question has been raised how MAPOD can take these factors into account. We report on a first approach to this question. We compare POD-curves resulting from randomly manipulated datasets with the original MAPOD-curves and comment on the potential benefit of this approach.
Author(s)
Project(s)
Reliability NDT
Language
English
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