@article { , title = {Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project.}, abstract = {Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully applied in various applications, including remote sensing for security and defense, precision agriculture for vegetation and crop monitoring, food/drink, and pharmaceuticals quality control. However, for condition monitoring and damage detection in carbon fibre reinforced polymer (CFRP), the use of HSI is a relatively untouched area, as existing non-destructive testing (NDT) techniques focus mainly on delivering information about physical integrity of structures but not on material composition. To this end, HSI can provide a unique way to tackle this challenge. In this paper, with the use of a near-infrared HSI camera, applications of HSI for the non-destructive inspection of CFRP products are introduced, taking the EU H2020 FibreEUse project as the background. Technical challenges and solutions on three case studies are presented in detail, including adhesive residues detection, surface damage detection and Cobot based automated inspection. Experimental results have fully demonstrated the great potential of HSI and related vision techniques for NDT of CFRP, especially the potential to satisfy the industrial manufacturing environment.}, doi = {10.1109/TIM.2022.3155745}, eissn = {1557-9662}, issn = {0018-9456}, journal = {IEEE Transactions on Instrumentation and Measurement}, note = {INFO COMPLETE (Now published checked and updated 31/3/2022 LM; Info of Early Access from IEEExplore alert 10/3/2022 LM) PERMISSION GRANTED (version = AAM; embargo = none; licence = Pub own; SHERPA = https://v2.sherpa.ac.uk/id/publication/3481 ) DOCUMENT READY (AAM rec'd 11/3/2022 LM) ADDITIONAL INFO: Contact: Yijun Yan; Jinchang Ren}, publicationstatus = {Published}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, url = {https://rgu-repository.worktribe.com/output/1616296}, volume = {71}, keyword = {Environment, Energy & Sustainability, Hyperspectral imaging (HSI), Non-destructive inspection, Carbon fibre reinforced polymer (CFRP): H2020, Cameras, Imaging, Inspection, Polymers, Service robots, Testing}, year = {2022}, author = {Yan, Yijun and Ren, Jinchang and Zhao, Huan and Windmill, James F.C. and Ijomah, Winifred and De Wit, Jesper and Von Freeden, Justus} }