Intelligent Optical Fibre Sensing Networks Facilitate Shift to Predictive Maintenance in Railway Systems

Abstract

This paper depicts an optical fibre sensing network based railway health condition monitoring system that can facilitate predictive maintenance in railways. Machine learning is applied to develop learning models that can be used to detect and identify different types of track defects such as rail corrugations, dipped weld joints and rail crossings.