Sensors Fusion in Non-Destructive Testing Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 32516
Special Issue Editors
Interests: NDT; health diagnostics; non-invasive imaging; autonomous systems inspections; composites; structures; thermal imaging; monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: Acoustics; finite element method; non-destructive testing
Interests: ultrasonic guided waves; non-destructive testing; artificial intelligence; non-contact ultrasonics; Industry 4.0; signal processing; sensors; instrumentations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Non-destructive testing (NDT) is an engineering approach for examining the properties of a structure or system without causing damage. This technology is widely used in medical imaging, mechanical engineering, civil engineering, etc. While it is relatively straightforward to inspect a small component or structure non-destructively in many applications, non-destructive testing of large structures, such as wind turbine blades, long distance pipelines, railways, etc., is often extremely challenging. This generally requires sensors fusion from the various non-destructive testing technologies applied.
This Special Issue encourages advances in sensors fusion in non-destructive testing and evaluation applications associated with (but not limited to) ultrasonic, eddy-current, thermography, and shearography techniques. We would like to invite original research articles, as well as review articles, that contain theoretical, analytical, and experimental investigations covering all aspects of NDT&E sensing. Applications associated with large structures are particularly welcome.
Prof. Dr. Nicolas P. Avdelidis
Dr. Wenbo Duan
Prof. Dr. Tat-Hean Gan
Guest Editors
Manuscript Submission Information
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Keywords
- Nondestructive
- Structures
- Sensors
- Imaging
- Structural health monitoring.