칼만 필터를 이용한 축상 진동가속도로부터 변위추정에 관한 연구

This paper is focused on estimation of displacement from axle-box acceleration for high-speed rail condition monitoring by an in-service high-speed train. Generally, the rail condition monitoring has been performed by a special railway inspection vehicle or industrial engineers for railway maintenance. However, they have been performed only at night, because they are slower than the in-service train and limited to specific section. To solve this problem, the monitoring should be performed by an in-service high-speed train. As a solution of the problem, axle-box vibration measurement has been under consideration. In this research, a method of displacement estimation from acceleration data is studied for identification of the rail condition. The acceleration is measured by using two accelerometers on axle-box, and stored in an on-board data acquisition system. The displacement is estimated from the acceleration by using Kalman filter, and compared with a commercial rail inspection system. From the comparison, it is revealed that the estimated displacement contains rail condition information.