Abstract
Rolling stock has been generally inspected and maintained on the basis of the preventive maintenance. However, the reliability of the sensors and information technology has drastically improved, and with this background the objective of this research is to develop the condition monitoring system for the bogies of the Shinkansen cars. This paper analyzes vibration states of the front bogie and the rear one in the same car when one bogie has some fault in its parts. For examining the details of the vibration characteristics of the bogie with some fault modes, experiments simulating some fault modes in bogie parts are conducted in the rolling stock test plant at Komaki Research Center of CJRC. Through this analysis we present an algorithm for detecting faults in some rotational parts of bogies which is based on the statistic analysis of vibration acceleration during some period. From the results of these experiments, we can show the reliability and the validation of this scheme for monitoring conditions of Shinkansen bogies.
