DocumentCode :
2343971
Title :
Predictive Maintenance Management of Rail Profile in UK Rail
Author :
Faiz, R.B. ; Singh, S.
Author_Institution :
Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK
fYear :
2009
fDate :
2-4 April 2009
Firstpage :
370
Lastpage :
375
Abstract :
Preventive maintenance finds the commencement of failure and helps them in mitigating them. It can also help in uncovering hidden failures. Preventive maintenance management can be used to determine defects in rail profile and prevent them happening in future. Such system helps in identifying trends for effective and efficient maintenance of rail profile. One such way is an in depth by information analysis of rail profile parameters by regression analysis thus finding a regression model among various parameters of rail profile. Such analysis leads to significant rail track maintenance productivity gains. For effective predictions an efficient regression model is required that minimizes the prediction error. This can be achieved choosing appropriate linear regression model. Such research has the potential to bring benefits in terms of lower operating costs for rail infrastructure users, as well as improved transit times and reliability of train arrivals which results in better maintenance management.
Keywords :
preventive maintenance; rails; regression analysis; UK rail profile; information analysis; linear regression model; predictive maintenance management; rail track maintenance productivity; regression analysis; Cameras; Condition monitoring; Costs; Inspection; Magnetic heads; Predictive maintenance; Preventive maintenance; Rails; Railway engineering; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Engineering and Information, 2009. ICC '09. International Conference on
Conference_Location :
Fullerton, CA
Print_ISBN :
978-0-7695-3538-8
Type :
conf
DOI :
10.1109/ICC.2009.69
Filename :
5328198
Link To Document :
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