Abstract
In this paper, a method for analyzing data gathered by a non-destructive inspecting approach of carbon-fiber composites is presented. In the process of composite probing a map of measurements is obtained. Upon the measurements an analysis can be performed in order to decide if the composite under examination is defective or not. The map is composed of a set of separate probes, which may be viewed as a set of pixels and, therefore, whole map can be perceived as an image. For this reason, image-based processing has been applied to examine the maps. The proposed method allows to detect suspicious regions with different, user-defined sensitivity.
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References
Bui, H., Wasselynck, G., Trichet, D., Fouladgar, J., Ramdane, B., Berthiau, G.: Thermo inductive nondestructive testing method applied to cfrp. COMPEL -The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33(1-2), 167–180 (2014)
Cheng, L., Tian, G.: Surface crack detection for carbon fiber reinforced plastic (cfrp) materials using pulsed eddy current thermography. IEEE Sensors Journal 11(12), 3261–3268 (2011)
Cheng, L., Tian, G.: Comparison of nondestructive testing methods on detection of delaminations in composites. Journal of Sensors (2012)
Hung, Y., Chen, Y., Ng, S., Liu, L., Huang, Y., Luk, B., Ip, R., Wu, C., Chung, P.: Review and comparison of shearography and active thermography for nondestructive evaluation. Materials Science and Engineering R: Reports 64(5-6), 73–112 (2009)
Meer, P.: Robust techniques for computer vision. In: Emerging Topics in Computer Vision, pp. 107–190 (2004)
Nabavi, M., Nihtianov, S.: Design strategies for eddy-current displacement sensor systems: Review and recommendations. IEEE Sensors Journal 12(12), 3346–3355 (2012)
Scott, I., Scala, C.: A review of non-destructive testing of composite materials. NDT International 15(2), 75–86 (1982)
Soille, P.: Morphological Image Analysis. Springer (1999)
Sophian, A., Tian, G., Taylor, D., Rudlin, J.: Electromagnetic and eddy currentndt: A review. Insight: Non-Destructive Testing and Condition Monitoring 43(5), 302–306 (2001)
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Zieliński, B., Iwanowski, M., Salski, B., Reszewicz, S. (2015). Detection of Defects in Carbon-Fiber Composites Using Computer-Vision-Based Processing of Microwave Maps. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_30
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DOI: https://doi.org/10.1007/978-3-319-10662-5_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10661-8
Online ISBN: 978-3-319-10662-5
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