Towards implementing condition based maintenance policy for rolling stock critical system

B.M. Alkali; F. Dinmohammadi; A. Ramani

Towards implementing condition based maintenance policy for rolling stock critical system

B.M. Alkali, F. Dinmohammadi, A. Ramani

Research output: Contribution to conference › Paper › peer-review

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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
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
Country/Territory	United Kingdom
City	London
Period	25/04/17 → 27/04/17
Internet address	https://events.imeche.org/viewevent?e=6344#

Keywords

rolling stock
mechanical engineering
system failures

Documents and Links

Alkali, B.M. e t al (2017) Towards implementing condition based maintenance policy for rolling stock critical systemAuthor accepted manuscript, 1.79 MB

Cite this

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title = "Towards implementing condition based maintenance policy for rolling stock critical system",

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.",

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AU - Alkali, B.M.

AU - Dinmohammadi, F.

AU - Ramani, A.

N1 - Unknown publication date – used last date of conference. ST 03/02/21 Asked author about host publication, acceptance etc. ET x 2

PY - 2017/4/27

Y1 - 2017/4/27

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 - Paper

T2 - The Stephenson Conference: Research for Railways

Y2 - 25 April 2017 through 27 April 2017

ER -

Towards implementing condition based maintenance policy for rolling stock critical system

Abstract

Conference

Keywords

Documents and Links

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Cite this