This study is about the fault identification of electric point machine used Bayesian estimation. The electric point machine is equipment for change the direction of movement of the train. When the fault caused to the machine, it may cause long time closure of traffic. Therefore, automatic early detection and identification system is important for early recovery. In this paper, effect of learning period for diagnostic accuracy length is evaluated.
