Predictive Maintenance Management of Rail Track

Track defects are deviation of actual from theoretical values of the tracks geometrical characteristics. Track defects are macroscopic and geometric in nature and are exclusively the consequence of train traffic [5] Rail track maintenance has been typically based on use of reactive maintenance. In that case discrete exeecedence of all measurements are compared against a pre-set threshold such that if they exceed the threshold then reactive maintenance is required to be done. This is particularly so in cases when current practices rely on conservative, engineering, decision. Besides it will not inform staff regarding defects in rail track which can subsequently helps in predictive maintenance. This paper focuses on linear regression analysis of track geometry parameters which leads to significant rail track maintenance productivity gains. The overall aim of the paper is to apply preventive maintenance management to evaluate and prioritise condition monitoring effort across network rail. Such research will result in effective and efficient maintenance management resulting in low operating cost better train transit times for rail industry [2].