Abstract
Turbine blades’ metal substrates are often coated with thermal barrier coatings made of composites, notably ceramics. Insulation defects, which might lead to a catastrophic turbine failure, must be detected by routine non-destructive testing. The microwave non-destructive testing has limited spatial imaging, complicating the defect evaluation. This research proposes a unique approach for delamination detection based on microwave non-destructive testing and k-medoids clustering. Using a double-ridged waveguide with 101 frequency points between 18 and 40 GHz, a standard ceramic coating sample is scanned. The k-medoids clustering technique reliably detects and sizes ceramic insulation delamination at each evaluated site. This finding demonstrates the k-medoids clustering method’s capability of detecting delamination with 95.3% accuracy.
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References
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Acknowledgements
This work was funded and supported by a Ministry of Higher Education Malaysia for Fundamental Research Grant Scheme with Project Code: FRGS/1/2020/TK0/USM/02/2.
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Yee, T.S., Akbar, M.F., Ghazali, N.A., Jawad, G.N., Shrifan, N.H.M.M. (2024). Microwave Non-destructive Testing Using K-Medoids Clustering Algorithm. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_42
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DOI: https://doi.org/10.1007/978-981-99-9005-4_42
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