Abstract
Training to qualify as a manual ultrasonic inspector takes a long time and costs a considerable amount of money. We developed a virtual training environment using an innovative dead-reckoning optical sensor that yields translational position which offers additional information to operators and examiners alike. The training environment contains a library of test scenarios, shows surface coverage, measures the time of inspection, indicates detected defects and provides a performance score. Our test-bed trial results using a pool of Ultrasonic Test (UT) qualified and unqualified participants on two virtual training blocks that contain 2 flaws each reveal 100% detection and an accuracy of 5mm in locating defects in more than 50% of the measured defect locations.
Original language | English |
---|---|
Pages (from-to) | 11-22 |
Number of pages | 12 |
Journal | Measurement: Journal of the International Measurement Confederation |
Volume | 71 |
Early online date | 27 Apr 2015 |
DOIs | |
Publication status | Published - 1 Jul 2015 |
Bibliographical note
The submitted version is also the author accepted versionKeywords
- Ultrasonic
- Probability of detection
- Synthetic training
- Information and communication technology
- Optical sensor and tracking system
Fingerprint
Dive into the research topics of 'A new synthetic training environment system based on an ICT-approach for manual ultrasonic testing'. Together they form a unique fingerprint.Profiles
-
Dr Abdeldjalil Bennecer
- University of Northampton, Technology - Associate Professor in Engineering
- Centre for Advanced and Smart Technologies
- Centre for Sustainable Futures
Person: Academic