1310 多重モデル法を用いた鉄道車両の状態診断 : マルチボディシミュレーションによる検証(OS5-3:鉄道の安全技術,OS5:安全・安心・防災・環境負荷低減,オーガナイズド・セッション(OS),第18回交通・物流部門大会(TRANSLOG2009))

概要

論文の詳細を見る
This paper demonstrates the possibility to detect suspension failures of railway vehicles using a multiple-model approach from on-board measurement data. The railway vehicle model used includes the lateral and yaw motions of the wheelsets and bogie, and the lateral motion of the vehicle body, with sensors measuring the lateral acceleration and yaw rate of the bogie, and lateral acceleration of the body. The detection algorithm is formulated based on the Interacting Multiple-Model (1MM) algorithm adding a method updating estimation model. The 1MM method has been applied for detecting faults in vehicle suspension systems in a simulation study. The mode probabilities and states of vehicle suspension systems are estimated based on a Kalman Filter (KF). This algorithm is evaluated in simulation examples. Simulation results indicate that the algorithm effectively detects on-board faults of railway vehicle suspension systems in realistic situation.
一般社団法人日本機械学会の論文
2009-12-02