Lifetime Estimation of Electronic Signalling Equipment Based on Sensing Data from Usage Environment

Abstract

In recent years, technological development to shift from conventional time-based maintenance (TBM) to condition-based maintenance (CBM) has been progressing. In response to this trend, various efforts are being made for signalling equipment along railway tracks. However, there are issues to be solved when applying CBM to electronic signalling equipment of which indications of deterioration is difficult to be detected. Focusing on the environment in which electronic signalling equipment is installed, this paper describes the results of examining new methods for lifetime estimation of equipment based on sensing data from the usage environment.