Presentation Information
[CS9-12]Study on improving the accuracy of unsupervised bridge anomaly detection using multi-group SI-F by mitigating seasonal influences
*Atsushi Iwasaki1, Keisuke Tsujimoto2, Yoshihide Endo2, Hiroyuki Nakamura2, Kazuhisa Nakano2 (1. Gunma University, 2. Nohmi Bosai LTD.)
Keywords:
Machine learning,Damage diagnosis,Anomaly detection,Vibration analysis,Un supervised
