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Progress in NDT system engineering through sensor physics and integrated efficient computing

: Kröning, M.; Ribeiro, J.G.; Vidal, A.

Fulltext urn:nbn:de:0011-n-679544 (634 KByte PDF)
MD5 Fingerprint: c3e069997687471b9d0949f67d339541
Created on: 18.7.2008

Asociación Argentina de Ensayos No Destructivos y Estructurales -AAENDE-:
IV Pan-American Conference for Nondestructive Inspection 2007 : CORENDE 2007 Congreso Regional de Ensayos No Destructivos y Estructurales, 22.-26. October 2007, Buenos Aires
Buenoes Aires: AAENDE, 2007
Pan-American Conference for Nondestructive Inspection <4, 2007, Buenos Aires>
Conference Paper, Electronic Publication
Fraunhofer IZFP ()
quantitative NDT; signal processing; imaging; sampling phased array; nano-NDT agent; microwave imaging; pulsed thermography

Nondestructive testing (NDT) system engineering is comprised of different technologies, primarily measurement physics, computing, electronics, mechanical engineering and automation. Significant progress in sensor physics, microelectronics and computing in the last decade will change both the quality and application of NDT.
We present examples of intelligent sensor technologies and integrated, efficient computing structures for signal processing. Keywords: Sensor-on-chip, Quantum Physical Sensing Effects and efficient scheduling of Optimized Algorithms including ill-posed problems. Our first systems designed on these principles allow for high-speed imaging with real-time quantitative assessment of inspection results. Multi-sensor systems, which communicate and combine their information for smarter processing, have also been developed. These principles will contribute to the current efforts in process integrated NDT, quantitative NDT and Structural Health Monitoring (SHM).
We discuss ultrasonic inspection systems featuring distributed apertures, the use of optimized algorithms and computing structures for the processing of microwave and thermal data, and the health monitoring of lightweight structures with integrated ultrasonic sensor networks.