Abstract
| Original language | English |
|---|---|
| Title of host publication | Towards implementing condition based maintenance policy for rolling stock critical system |
| Publisher | Institute of Mechanical Engineers (IMechE) |
| Publication status | Published - 2018 |
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Keywords
- rolling stock
- mechanical engineering
- system failures
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Towards implementing condition based maintenance policy for rolling stock critical system. / Alkali, Babakalli; Dinmohammadi, Fateme; Ramani, Abhinay .
Towards implementing condition based maintenance policy for rolling stock critical system. Institute of Mechanical Engineers (IMechE), 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Towards implementing condition based maintenance policy for rolling stock critical system
AU - Alkali, Babakalli
AU - Dinmohammadi, Fateme
AU - Ramani, Abhinay
N1 - Asked author about host publication, acceptance etc. ET x 2
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - rolling stock
KW - mechanical engineering
KW - system failures
M3 - Conference contribution
BT - Towards implementing condition based maintenance policy for rolling stock critical system
PB - Institute of Mechanical Engineers (IMechE)
ER -