Quantifying risk of classification of protective textiles using measurement uncertainty
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Abstract
Laboratories executing performance testing of protective textiles (e.g., CE marking of
protective gloves) are obliged to evaluate measurement uncertainty. Currently, this is a challenging task
due to the complexity of test methods. In our research, we define this parameter using a newly
implemented model of error propagation and use it to assess the risk of performance level classification,
which can be interpreted as the proportion of products failing to reach the expected limit value. Laboratories executing performance testing of protective textiles (e.g., CE marking of
protective gloves) are obliged to evaluate measurement uncertainty. Currently, this is a challenging task
due to the complexity of test methods. In our research, we define this parameter using a newly
implemented model of error propagation and use it to assess the risk of performance level classification,
which can be interpreted as the proportion of products failing to reach the expected limit value.