Quantifying risk of classification of protective textiles using measurement uncertainty

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.