Abstract
This paper proposes the new method for suppressing the inherent wave of the sensor system.The inherent wave often prevents from analyzing the signal of target. Previous method calculated the inherent wave to solve this problem using two assumptions.However,the calculated wave is differ from the original inherent wave in unsatisfying the assumptions. Therefore, the new method estimates the wave using fuzzy-logic without the assumptions. As a result, this method was able to detect with higher accuracy than previous method.
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References
J. Sanjie and M.A. Mohamed, ”Ultrasonic Flaw Detection Based Mathematical Morphology,” IEEE Trans.Ultrasonics Frequency Cont., vol. 41, pp. 150–160, Jan. 1994.
M. Karaoguz, N. Bilgutay, T. Akgul and S. Popovics, ”Defect Detection in Concrete Using Split Spectrum Processing,” IEEE Ultrasonics Sympo. Proc., pp. 843–846, 1998.
M. Krause, F. Mielents, B. Milman, H. Wiggenhauser, W. Muller and V. Schmitz, ”Ultrasonic Imaging of Concrete Members using an Array System,” Insight, vol. 42, pp. 447–450, Jun. 2000.
K. Nagamune, Y. Hata and K. Taniguchi, ”Automated Extraction of Buried Pipes from 3D Ultrasonic Images by Fuzzy Inference,” Int. Conf. Signal Processing Proc., pp. 877–881, 2000.
Y. Hata, S. Kobashi, S. Hirano, H. Kitagaki and E. Mori, ”Automated Segmentation of Human Brain MR Images Aided by Fuzzy Information Granulation and Fuzzy Inference,” IEEE Trans. Systems, Man, Cybernatics,vol. 30, pp. 381–395, 2000.
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© 2001 Springer-Verlag Berlin Heidelberg
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Nagamune, K., Hata, Y., Taniguchi, K. (2001). Inherent Wave Estimation on Ultrasonic Non-destructive Testing Using Fuzzy Inference. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_39
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DOI: https://doi.org/10.1007/3-540-45493-4_39
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