@misc{710c3a8317344e20a1061ad17a43bc99,
title = "Qualification of Non-Destructive Testing Systems that Make Use of Machine Learning: ENIQ Recommended Practice 13",
abstract = "This Recommended Practice (RP) has been developed as a consensus document amongst the members of NUGENIA Technical Area 8 (TA8) – European Network for Inspection and Qualification (ENIQ). The main objective of this RP is to support licensees, qualification bodies and inspection vendors to produce and assess inspection procedures that use machine learning (ML) for automated data analysis. For the most part, the qualification of non-destructive testing (NDT) systems that utilize ML is similar to qualifying more traditional NDT systems. This document provides guidance on the specific considerations related to the use of ML in the qualification process.",
keywords = "NDE, Qualification, Machine learning",
author = "Iikka Virkkunen and Martin Bolander and Heikki My{\"o}h{\"a}nen and Roberto Miorelli and Ola Johansson and Philip Kicherer and Chris Curtis and Oliver Martin",
year = "2021",
month = jun,
day = "1",
language = "English",
isbn = "978-2-919313-28-0",
series = "ENIQ Recommended practice",
publisher = "SNETP Association",
address = "Belgium",
type = "Other",
}