振動解析に基づく新幹線台車の状態監視 : 第2報,前後台車比較及び振動ピーク継続性の検証

概要

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Rolling stock has generally been inspected and maintained on the basis of preventive maintenance. However, the reliability of sensors and information technology have drastically improved and, with this background, the objective of this research is to develop a condition monitoring system for the bogies of Shinkansen cars. This paper describes two algorithms for detecting faults in some parts of bogies. These algorithms are based on the statistical analysis of vibration acceleration. One algorithm compares the vibration states between the front and rear bogies in the same car when one bogie has faulty parts. The other algorithm detects the signs of faults by examining the amplitude and duration of the peaks of measured vibration acceleration. Through the experiments simulating some faults in bogie parts and analysis, we can demonstrate the reliability of the schemes developed in this study for monitoring the conditions of Shinkansen bogies.
2010-09-25