Analysis of Rail Failure Data for Developing Predictive Models and Estimation of Model Parameters
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| 59109_1.pdf | 328Kb | Adobe PDF | View |
| Title | Analysis of Rail Failure Data for Developing Predictive Models and Estimation of Model Parameters |
|---|---|
| Author | Rahman, Anisur; Chattopadhyay, G. |
| Publication Title | First World Congress on Engineering Asset Management, |
| Editor | Joseph Mathews, Lin Ma, A Tan and Deryk Anderson |
| Year Published | 2006 |
| Place of publication | Brisbane, Australia |
| Publisher | Springer |
| Abstract | Servicing strategy of a rail network is developed by understanding reliability of rails used in the rail track system. Reliability analysis of rails can be carried out by understanding the failure mechanism of rail through modelling and analysis of failure data. These failure data are time or usage dependent for certain conditions. In a probabilistic sense, rail failure is a function of its usage in terms of Million Gross Tones (MGT) for certain conditions. This paper is to analyse real life rail industry data, deal with the limitations of available data and develop predictive models for maintenance and replacement decisions. Parameters of the model are estimated using real world data with an application of non-homogeneous Poisson process. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://www.wceam.com/ |
| ISBN | 1-84628-583-6 |
| Conference name | First World Congress on Engineering Asset Management (WCEAM 2006) |
| Location | Gold Coast, Queensland, Australia |
| Date From | 2006-07-11 |
| Date To | 2006-07-14 |
| URI | http://hdl.handle.net/10072/28945 |
| Date Accessioned | 2009-12-21 |
| Date Available | 2010-02-25T06:53:13Z |
| Language | en_AU |
| Research Centre | Centre for Infrastructure Engineering and Management |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | PRE2009-Industrial Engineering |
| WWW reference | WCEAM .com |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1x |
Please use this identifier to cite this record: http://hdl.handle.net/10072/28945
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