Abstract
Rolling stock critical system failures require condition based maintenance (CBM) policy to optimise maintenance tasks and hence improve reliability and availability of service operation. In this paper, the implementation of CBM analysis for Class 158 Diesel Multiple Unit (DMU) train door system is presented. The condition monitoring of the door system information collected falls into the category of partially observable systems. Condition monitoring trial results of the doors is presented to show specific signs of door deterioration and repeating failures. A stochastic signal pulse model is proposed that could utilize CBM information to schedule optimum cost effective maintenance strategy.
Original language | English |
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Number of pages | 9 |
Publication status | Published - 27 Apr 2017 |
Event | The Stephenson Conference: Research for Railways - London, United Kingdom Duration: 25 Apr 2017 → 27 Apr 2017 https://events.imeche.org/viewevent?e=6344# |
Conference
Conference | The Stephenson Conference: Research for Railways |
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Country/Territory | United Kingdom |
City | London |
Period | 25/04/17 → 27/04/17 |
Internet address |
Keywords
- rolling stock
- mechanical engineering
- system failures