リニューアル (7)

[VI-873] Development of a predictive model for bridge health conditions using ordinal logistic regression analysis

*Yuki Yokoyama¹, Tatsu Kuwatani², Takeshi Teraoka³, Jyunya Matsumoto⁴, Hideitsu Hino⁵, Tomoki Shiotani¹ (1. Kyoto University, 2. Japan Agency for Marine-Earth Science and Technology, 3. Kyoto Prefecture, 4. Kyoto Engineering Support Center, 5. The Institute of Statistical Mathematics)

Keywords:Maintenance management, Prediction of bridge health condition , Predictive maintenance, Machine learning, Multivariate analysis, Ordinal logistic regression analysis