Automation and AI for NDT Special Machine Construction

This article discusses examples from the field of special machine construction that feature a high degree of automation. Systems for the testing methods UT, MT, and PT are presented. Either component handling is automated via robotics or gantry systems, or sensor positioning is automated in the case of ultrasonic testing. In ultrasonic testing, fully automated evaluation has long been state of the art. Current trends include phased array testing (PAUT), using modern algorithms such as TFM (Total Focusing Method) or PWI (Plane Wave Imaging) when appropriate. In magnetic particle testing, the crack evaluation is usually carried out manually. The AI-based software CRACKVIEW AI is now used for fully automated crack assessment. The algorithm has been trained using many thousands of images and delivers good results. Initial results for PT testing are now available. The special machine construction sector is undergoing change due to the increased use of robotics. High flexibility and falling prices are driving this development. High labour costs, the difficulty in finding suitable inspection staff, and the desire to minimise the "human factor" are further drivers behind an increasing trend towards a higher degree of automation.

Authors

Publication Details

Journal
e-Journal of Nondestructive Testing
Published
2026-11-01
DOI
https://doi.org/10.58286/35071
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automation and AI for NDT Special Machine Construction

Daniel Braun, Wolfram Deutsch, Marius Weiler, Karl Deutsch Pruef- und Messgeraetebau et al.
e-Journal of Nondestructive Testing
Non-Destructive Testing Techniques
article

Automation and AI for NDT Special Machine Construction

Daniel Braun, Wolfram Deutsch, Marius Weiler, Karl Deutsch Pruef- und Messgeraetebau, Stephan Robens, Matthias Spormann, Jörn Bolten
article en

Abstract

This article discusses examples from the field of special machine construction that feature a high degree of automation. Systems for the testing methods UT, MT, and PT are presented. Either component handling is automated via robotics or gantry systems, or sensor positioning is automated in the case of ultrasonic testing. In ultrasonic testing, fully automated evaluation has long been state of the art. Current trends include phased array testing (PAUT), using modern algorithms such as TFM (Total Focusing Method) or PWI (Plane Wave Imaging) when appropriate. In magnetic particle testing, the crack evaluation is usually carried out manually. The AI-based software CRACKVIEW AI is now used for fully automated crack assessment. The algorithm has been trained using many thousands of images and delivers good results. Initial results for PT testing are now available. The special machine construction sector is undergoing change due to the increased use of robotics. High flexibility and falling prices are driving this development. High labour costs, the difficulty in finding suitable inspection staff, and the desire to minimise the "human factor" are further drivers behind an increasing trend towards a higher degree of automation.

e-Journal of Nondestructive TestingVol. 31(11)
Openalex Percentile: Top 23%
Non-Destructive Testing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Automation and AI for NDT Special Machine Construction — Daniel Braun, Wolfram Deutsch, et al. · e-Journal of Nondestructive Testing (2026) | TGRS Research Map | TGRS