Condition Monitoring of Shinkansen Tracks Based on Inverse Analysis

Abstract

This paper demonstrates the possibility to estimate the track irregularities of Shinkansen tracks using car-body motions only. In an inverse problem to estimate track irregularity from car-body motions, a Kalman Filter (KF) was applied to solve the inverse problem. Estimation results showed that track irregularity estimation in vertical direction is possible with acceptable accuracy for real use.