Title :
Time Based Predictive Maintenance Management of UK Rail Track
Author :
Faiz, R.B. ; Singh, S.
Author_Institution :
Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
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].
Keywords :
condition monitoring; railways; regression analysis; UK rail track maintenance; defects mitigation; predictive condition monitoring; regression model; time-based predictive maintenance management; track geometry; train arrival reliability; Condition monitoring; Conference management; Geometry; Inspection; Predictive maintenance; Preventive maintenance; Rails; Railway engineering; Railway safety; Wheels;
Conference_Titel :
Computing, Engineering and Information, 2009. ICC '09. International Conference on
Conference_Location :
Fullerton, CA
Print_ISBN :
978-0-7695-3538-8
DOI :
10.1109/ICC.2009.70