Scientometric Analysis of the Dynamics of Artificial Intelligence Applications in NonDestructive Testing and Structural Integrity Monitoring

This study aims to present a scientometric analysis of Artificial Intelligence (AI) applications in NonDestructive Testing and Evaluation (NDT&E) and Structural Integrity Monitoring. The data is collected from the research papers contained in the Web of Science Core Collection, covering studies on AI applications in various NDT methods employed across different industry sectors. The collected 654 research articles-dataset published between April 1989 and January 2023 was processed using CiteSpace software, which classified the dataset into twelve clusters. Moreover, a subset of the data pertaining to the relevant research in the nuclear industry was considered for analysis. Various metrics were used to analyse the consistency of the clusters and publications' influence and quality. The results, which quantify the dynamics and quality of research in AI for NDT&E, are given in visualised mappings, and tabulated data and the content of the major clusters was discussed to reveal the used AI and NDT&E methods and the sectors or industries where they have been used.