The 83rd JSAP Autumn Meeting 2022

Presentation information

Oral presentation

1 Interdisciplinary Physics and Related Areas of Science and Technology » 1.6 Ultrasonics

[22p-C105-1~17] 1.6 Ultrasonics

Thu. Sep 22, 2022 1:30 PM - 6:00 PM C105 (C105)

Yuji Ohashi(Tohoku Univ.), Jun Kondoh(Shizuoka Univ.)

5:45 PM - 6:00 PM

[22p-C105-17] Damage evaluation of fixed beams at both ends based on unsupervised machine learning using responses of impedance-loaded surface acoustic wave sensor

Naoki Hashimoto1, Shinji Baba1, 〇Jun Kondoh1 (1.Shizuoka Univ.)

Keywords:surface acoustic wave, unsupervised machine learning

Damage evaluation of fixed beams at both ends was carried out using an impedance-loaded surface acoustic wave sensor for bridge health monitoring. The sensor responses were analyzed using a continuous Wavelet transform and the attenuation coefficient was obtained for each frequency. Then, the coefficients were applied to an unsupervised machine learning method. For unsupervised machine learnings, k-means and Gaussian Mixture Model (GMM) were used. The evaluation results indicate that the GMM is the effective method.