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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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Groves, Roger
Delft University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (29/29 displayed)
- 2024Shearography With Thermal Loading For Defect Detection Of Small Defects In Cfrp Composites
- 2024Towards hydrogen fueled aircraft
- 2024Advancing Hydrogen Sensing for Sustainable Aviationcitations
- 2023Towards safe shearography inspection of thick composites with controlled surface temperature heatingcitations
- 2022Shearography non-destructive testing of thick GFRP laminatescitations
- 2022Shearography non-destructive testing of a composite ship hull section subjected to multiple impacts
- 2021Optical Material Characterisation of Prepreg CFRP for Improved Composite Inspectioncitations
- 2021Spatially modulated thermal excitations for shearography non-destructive inspection of thick compositescitations
- 2021Modeling and imaging of ultrasonic array inspection of side drilled holes in layered anisotropic mediacitations
- 2020Simulation of ultrasonic beam propagation from phased arrays in anisotropic media using linearly phased multi-Gaussian beamscitations
- 2020A gaussian beam based recursive stiffness matrix model to simulate ultrasonic array signals from multi-layered mediacitations
- 2020Simultaneous temperature-strain measurement in a thin composite panel with embedded tilted Fibre Bragg Grating sensors (PPT)
- 2020Algorithm assessment for layup defect segmentation from laser line scan sensor based image datacitations
- 2019Systematic multiparameter design methodology for an ultrasonic health monitoring system for full-scale composite aircraft primary structurescitations
- 2018Experimental assessment of the influence of welding process parameters on Lamb wave transmission across ultrasonically welded thermoplastic composite jointscitations
- 2018Incorporating Inductive Bias into Deep Learning
- 2018Non-Destructive Testing for Detection, Localization and Quantification of Damage on Composite Structures for Composite Repair Applications
- 2018Full-scale testing of an ultrasonic guided wave based structural health monitoring system for a thermoplastic composite aircraft primary structure
- 2018EXTREME shearographycitations
- 20183.12 Inspection and Monitoring of Composite Aircraft Structurescitations
- 2017Online preventive non-destructive evaluation for automated fibre placement
- 2017Modelling of ultrasonic beam propagation from an array through transversely isotropic fibre reinforced composites using Multi Gaussian beams
- 2017Epoxy-hBN nanocompositescitations
- 2017Advanced signal processing techniques for fibre-optic structural health monitoring
- 2016Online Preventative Non-Destructive Evaluation in Automated Fibre Placement
- 2016Thermal strains in heated Fiber Metal Laminates
- 2016Monitoring chemical degradation of thermally cycled glass-fibre composites using hyperspectral imagingcitations
- 2016Experimental characterisation of Lamb wave propagation through thermoplastic composite ultrasonic welds
- 2016Perspectives on Structural Health Monitoring of Composite Civil Aircraft
Places of action
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document
Advanced signal processing techniques for fibre-optic structural health monitoring
Abstract
Fibre optic sensors can measure a range of physics and chemical parameters. Some of the more common fibre optic sensors are the fibre Bragg grating (FBG), the long period grating (LPG), the Fabry-Pérot Interferometer (FPI) and various distributed fibre optic sensors based on optical time-domain reflectometry (OTDR) and optical frequency domain reflectometry (OFDR). Each of these sensor types utilises different interrogator hardware and signal processing software. The goals of this research are to develop new algorithms for multi-parameter sensing and to improve the sensitivity and resolution of fibre optic sensing by developing new approaches. This is done by stepping back from current algorithms, and considering what additional information is expected to be present in and can be extracted from the signal. Recent publications have shown that advanced signal processing techniques can be used for bend sensing, for damage type classification and to improve the spatial resolution of the sensing. Structural health monitoring requires the measurement of different structural parameters to determine the health of a structure. A commonly used definition of structural health monitoring is “SHM is the integration of sensing and possibly also actuation devices to allow the loading and damaging conditions of a structure to be recorded, analysed, localized, and predicted in a way that non-destructive testing (NDT) becomes an integral part of the structure and a material”. From this definition four levels of structural heath monitoring are defined: (1) mechanical and environmental load monitoring, (2) identification and location of damage, (3) damage quantification, and (4) prognosis of residual life.The paper will explore how advanced signal processing techniques can drive the development of multi-parameter sensing with fibre optics, and can lead to the goal of integrated fibre optic sensing system for structural health monitoring applications.