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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Poelman, Gaétan
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Automated woven background removal for enhanced infrared thermographic inspection of fabric composites
- 2022Broadband nonlinear elastic wave modulation spectroscopy for damage detection in compositescitations
- 2022Phase inversion in (vibro-)thermal wave imaging of materials: Extracting the AC component and filtering nonlinearitycitations
- 2021Phase inversion for accurate extraction of the harmonic thermal response in active infrared thermographic NDT
- 2021Broadband nonlinear elastic wave modulation spectroscopy for damage detection in composites
- 2021On the application of an optimized frequency-phase modulated waveform for enhanced infrared thermal wave radar imaging of compositescitations
- 2021Vibro-Thermal Wave Radar: Application of Barker Coded Amplitude Modulation for Enhanced Low-Power Vibrothermographic Inspection of Compositescitations
- 2020An experimental study on the defect detectability of time- and frequency-domain analyses for flash thermographycitations
- 2020Adaptive spectral band integration in flash thermography : enhanced defect detectability and quantification in compositescitations
- 2020A robust multi-scale gapped smoothing algorithm for baseline-free damage mapping from raw thermal images in flash thermography
- 2020Multi-scale gapped smoothing algorithm for robust baseline-free damage detection in optical infrared thermographycitations
- 2020Nonlinear Elastic Wave Energy Imaging for the Detection and Localization of In-Sight and Out-of-Sight Defects in Compositescitations
- 2020Probing the limits of full-field linear local defect resonance identification for deep defect detectioncitations
- 2020Vibrothermographic spectroscopy with thermal latency compensation for effective identification of local defect resonance frequencies of a CFRP with BVIDcitations
- 2019In-plane local defect resonances for efficient vibrothermography of impacted carbon fiber reinforced plastics (CFRP)citations
- 2019Performance of frequency and/or phase modulated excitation waveforms for optical infrared thermography of CFRPs through thermal wave radar : a simulation studycitations
- 2019Efficient automated extraction of local defect resonance parameters in fiber reinforced polymers using data compression and iterative amplitude thresholdingcitations
- 2019Sweep vibrothermography and thermal response derivative spectroscopy for identification of local defect resonance frequencies of impacted CFRPcitations
- 2018Optical infrared thermography of CFRP with artificial defects : performance of various post-processing techniquescitations
- 2018Automated extraction of local defect resonance for efficient non-destructive testing of composites
Places of action
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article
Automated woven background removal for enhanced infrared thermographic inspection of fabric composites
Abstract
Infrared thermography is a promising non-destructive testing methodology for the inspection of composite materials. While there are many accounts in literature that report an excellent performance on unidirectional composite laminates, this is not the case for woven fabric composites. Their inspection is typically characterised by the presence of an imprint of the weave pattern in the thermographic recordings, which is most-often found to be disturbing for reliable anomaly detection. In this contribution, it is proposed to evaluate the thermographic data in ????-space in order to separate the weave pattern from the defect information. To this end, an algorithm is introduced to automatically perform this decomposition. The efficiency of the proposed methodology is demonstrated for several weave patterns with different defect cases.