電気転てつ機の状態監視データに基づく故障部位の推定方法

抄録

Today, condition monitoring systems (CMS) of point machines and failure detection and diagnosis methods using CMS data are also proposed and then in used. Most of all proposed methods are targeted switch malfunctions by changing gradually such as friction force on bed plate, motor current, and displacement of lock rod. However, another mode of malfunctions happening suddenly are also available, but there is no failure detection and diagnosis method applying such mode of malfunctions. Therefore, we developed a failure detection method covering suddenly happened failure peculiarly broken of inner structure of electric point machine using CMS data, based on failure analysis focused on physical relation between point machine parts.