Application of Artificial Neural Networks for Defect Detection in Ceramic Materials

• Autorzy: Akinci T. C. , Nogay H. S. , Yilmaz O.
• Języki publikacji: EN

Abstrakty

EN

In this study, an artificial neural network application was performed to tell if 18 plates of the same material in different shapes and sizes were cracked or not. The cracks in the cracked plates were of different depth and sizes and were non-identical deformations. This ANN model was developed to detect whether the plates under test are cracked or not, when four plates have been selected randomly from among a total of 18 ones. The ANN model used in the study is a model uniquely tailored for this study, but it can be applied to all systems by changing the weight values and without changing the architecture of the model. The developed model was tested using experimental data conducted with 18 plates and the results obtained mainly correspond to this particular case. But the algorithm can be easily generalized for an arbitrary number of items.

Słowa kluczowe

EN

impulse noise; artificial neural network; ANN; defect detection; ceramic materials

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2012
• Tom: Vol. 37, No. 3
• Strony: 279--286
• Opis fizyczny: Bibliogr. 23 poz., tab., wykr.

Twórcy

autor

Akinci T. C.

autor

Nogay H. S.

autor

Yilmaz O.

• Department of Electrical & Electronics Engineering Faculty of Engineering, Kirklareli University Kirklareli-Turkey;,

Bibliografia

• 1. Akinci T.C. (2011), The Defect Detection in Ceramic Materials Based on Time-Frequency Analysis by Using the Method of Impulse Noise, Archieves on Accoustic, 36, 1, 77-85.
• 2. Aydogmus Z. (2009), A neural network-based estimation of electric fields along high voltage insulators, Expert Systems with Applications, 36, 8705-8710.
• 3. Bayazit M., Bayazit E. (2010), Evaluation of Ceramic Materials on Art, Journal of Applied Sciences Research-INSInet Publication, 6, 6, 790-795.
• 4. Bevivino J. (2009), The Path From the Simple Pendulum to Chaos, Dynamics at the Horsetooth, 1, 1-24.
• 5. Bose B.K. (2002), Modern power electronics and AC drivers, Prentice Hall PTR, USA, p. 625-689.
• 6. Box G.E.P., Jenkins G. (1970), Time Series Analysis, Forecasting and Control, Golden-Day, San Francisco, CA.
• 7. Ceramics and Glass Technology, (2007), Republic of Turkey Ministry of National Education, [MEGEP], p. 340-355.
• 8. De Andrade R.M., Paone N., Revel G.M. (1998), Non Destructive Thermal Detection of Delamination in Ceramic Tile, Proc. ENCIT 98, pp. 727-731, Rio de Janeiro.
• 9. De Andrade R.M., Esposito E., Paone N., Revel G.M. (1999), Non-destructive Techniques for Detection of Delamination in Ceramic Tile: A Laboratory Comparison Between Ir Thermal Cameras and Laser Doppler Vibrometers, Proc. SPIE, 3585, 367-377.
• 10. Hagan T.M., Demuth H.B., Beale M. (1996), Neural Network Design, PWS Publishing Company, Boston, 2-44.
• 11. Kamilov S., Karabaeva M., Abdurrahmanov M. (1998), Studies of Structure of Ceramic Materials Containing Molibdenum Particles Within the Framework of Theory of Non-Homogeneous Systems, TUBITAK, Tr. J. of Physics, 22, 777-781.
• 12. Kater H. (1818), An account of experiments for determining the length of the pendulum vibrating seconds in the latitude of London, Phil. Trans. R. Soc. (London), 104, 33, 109, [Retrieved (2008)-11-25].
• 13. Kubik J. (2006), Durability of monuments [in Polish: Trwałość zabytków], Studia z zakresu Fizyki Budowli. Sekcja Fizyki Budowli KILiW PAN, Łódź.
• 14. Kucuk H., Akinci T.C. (2006), Roughness of Ceramic Materials by the Method of Determining Noise Impact, Conference For Computer Aided Engineering And System Modelling, Abant Palace Hotel, Bolu-Turkey.
• 15. Maldague X.P.V. (2001), Theory and Practice of Infrared Technology for Nondestructive Testing, pp. 238-250, John Wiley & Sons, New York.
• 16. Popovskaya N.F., Bobkova N.M. (2002), Mullite-Tialite Ceramic Materials Based on Chemically Precipitated Mixtures (A Review), Glass and Ceramics, 59, 7-8, 234-236, DOI: 10.1023/A:1020979228914.
• 17. Ranachowski P., Rejmund F. (2008), Mechanical-Acoustic Examination of Ceramic Material, Proceedings of the 7th Int. Conference EEEIC 08, Cottbus, pp. 11-13.
• 18. Revel G.M., Rocchi S. (2006), Defect detection in ceramic materials by quantitative infrared thermography, 8th Conference on Quantitative Infrared Thermography - QIRT'2006, Padova, Italy.
• 19. Samborski S., Sadowski T. (2005), Experimental Investigations and Modelling of Porous Ceramics, Solid Mechanics and ıts Applications, IUTAM Symposium on Multiscale Modelling of Damage and Fracture Processes in Composite Materials Proceedings of the IUTAM Symposium held in Kazimierz Dolny, Poland.
• 20. Sawitz M. (1999), Commercialisation of Advanced Ceramics, Part I, Am. Ceram. Soc. Bull., 78, 1, 53-56.
• 21. Sawitz M. (1999), Commercialisation of Advanced Structural Ceramics, Part II, Am. Ceram. Soc. Bull., 78, 3, 52-56.
• 22. Stone and Mineral Products Industry Special Trade Commission Report [SMPISTC], (Ceramic Coating Materials, Ceramic Health Care Products, Technical Ceramics), DPT: 2552 - ÖYK: 568, ISBN 975-19-2807-9, Ankara 2001 Turkey.
• 23. Uludag K. (1998), Ceramic Art of Identity Problem, Journal of Art in Turkey, 33, 36-38