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Time Based Predictive Maintenance Management of UK Rail Track

Rizwan Bin Faiz, Sameer Kumar Singh

Open publisher page 10 citations

Abstract

Time based preventive maintenance not only helps in uncovering defects but also commencement of these defects resulting in defects mitigation. Time based preventive maintenance helps in identifying defects in track geometry and can prevent them happening in future. Such effective time based maintenance helps in identifying trends for track geometry. One such way for effective predictive condition monitoring is by developing an efficient regression model that minimizing prediction error. Time based preventive maintenance helps in answering fundamental questions which can be either what maintenance actions to take or to replace or to repair the system to a specific state or to leave it as is or when is the next inspection to take place. The results of such research has the potential to bring benefits in terms of reducing effort and time consumed in rail track maintenance and improving reliability of train arrivals which ultimately adds in better maintenance [2].

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What this paper is about

Time based preventive maintenance not only helps in uncovering defects but also commencement of these defects resulting in defects mitigation. Time based preventive maintenance helps in identifying defects in track geometry and can prevent them happening in future. Such effective time based maintenance helps in identifying trends for track geometry. One such way for effective predictive condition monitoring is by developing an efficient regression model that minimizing prediction error. Time based preventive maintenance helps in answering fundamental questions which can be either what maintenance actions to take or to replace or to repair the system to a specific state or to leave it as is or when is the next inspection to take place. The results of such research has the potential to bring benefits in terms of reducing effort and time consumed in rail track maintenance and improving reliability of train arrivals which ultimately adds in better maintenance [2].

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Available abstract

Time based preventive maintenance not only helps in uncovering defects but also commencement of these defects resulting in defects mitigation. Time based preventive maintenance helps in identifying defects in track geometry and can prevent them happening in future. Such effective time based maintenance helps in identifying trends for track geometry. One such way for effective predictive condition monitoring is by developing an efficient regression model that minimizing prediction error. Time based preventive maintenance helps in answering fundamental questions which can be either what maintenance actions to take or to replace or to repair the system to a specific state or to leave it as is or when is the next inspection to take place. The results of such research has the potential to bring benefits in terms of reducing effort and time consumed in rail track maintenance and improving reliability of train arrivals which ultimately adds in better maintenance [2].

Key concepts: Preventive maintenance, Track (disk drive), Predictive maintenance, Reliability (semiconductor), Computer science, Track geometry, Reliability engineering, Maintenance engineering

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