[3A1] [General Session] 2. Machine Learning

[3A1-02] A new methodology of deterioration prediction using deep learning scheme for coastal facilities

〇Kentaro Kumagai¹, Naoki Fujii² (1. Kyoto University, 2. Tokyo Electric Power Services CO.,Ltd.)

Keywords:coastal protection facilities, deterioration prediction, Convolutional Neural Network

A new framework of a methodology of deterioration prediction using deep learning scheme for coastal protection facilities was proposed. As a basic examination, a deterioration prediction model was developed based on an inspection report of damaged facilities and observed data of wind-direction from 1966 to 1985. According to the simulation results, an average value of accuracy rate of the model was 0.44. Although sufficient accuracy could not be obtained in this trial, points to be considered for further investigations were discussed.