Feasibility of Model-Assisted Probability of Detection Principles for Structural Health Monitoring Systems Based on Guided Waves for Fiber-Reinforced Composites-Reference-Cited by-同舟云学术

Feasibility of Model-Assisted Probability of Detection Principles for Structural Health Monitoring Systems Based on Guided Waves for Fiber-Reinforced Composites

Published:2021-10 Issue:10 Volume:68 Page:3156-3173
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Tschoke Kilian¹^ORCID,Mueller Inka²^ORCID,Memmolo Vittorio³^ORCID,Moix-Bonet Maria⁴,Moll Jochen⁵^ORCID,Lugovtsova Yevgeniya⁶,Golub Mikhail⁷^ORCID,Venkat Ramanan Sridaran⁸,Schubert Lars¹^ORCID

Affiliation:

1. Department of Condition Monitoring and Test Services, Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Dresden, Germany

2. Institute of Mechanics, Bochum University of Applied Sciences, Bochum, Germany

3. Department of Industrial Engineering, Università degli Studi di Napoli Federico II, Naples, Italy

4. German Aerospace Center, Institute of Composite Structures and Adaptive Systems, Braunschweig, Germany

5. Department of Terahertz Photonics, Goethe University of Frankfurt am Main, Frankfurt am Main, Germany

6. Acoustic and Electromagnetic Methods Division, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

7. Institute for Mathematics, Mechanics and Informatics, Kuban State University, Krasnodar, Russia

8. Department of Non-Destructive Testing & Quality Assurance, Saarland University, Saarbrücken, Germany

Funder

German Federal Ministry of Education and Research through the project “CarbonSafe”

Deutsche Forschungsgemeinschaft (DFG) through the project “Towards a holistic quality assessment for guided wave based SHM”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/58/9548852/09444358.pdf?arnumber=9444358

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