Towards implementing condition based maintenance policy for rolling stock critical system

Babakalli Alkali, Fateme Dinmohammadi, Abhinay Ramani

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Downloads (Pure)

    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 languageEnglish
    Title of host publicationTowards implementing condition based maintenance policy for rolling stock critical system
    PublisherInstitute of Mechanical Engineers (IMechE)
    Publication statusPublished - 2018

    Fingerprint

    Condition monitoring
    Deterioration
    Information systems
    Availability
    Costs

    Keywords

    • rolling stock
    • mechanical engineering
    • system failures

    Cite this

    Alkali, B., Dinmohammadi, F., & Ramani, A. (2018). Towards implementing condition based maintenance policy for rolling stock critical system. In Towards implementing condition based maintenance policy for rolling stock critical system Institute of Mechanical Engineers (IMechE).
    Alkali, Babakalli ; Dinmohammadi, Fateme ; Ramani, Abhinay . / Towards implementing condition based maintenance policy for rolling stock critical system. Towards implementing condition based maintenance policy for rolling stock critical system. Institute of Mechanical Engineers (IMechE), 2018.
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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.",
    keywords = "rolling stock, mechanical engineering, system failures",
    author = "Babakalli Alkali and Fateme Dinmohammadi and Abhinay Ramani",
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    year = "2018",
    language = "English",
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    Alkali, B, Dinmohammadi, F & Ramani, A 2018, Towards implementing condition based maintenance policy for rolling stock critical system. in Towards implementing condition based maintenance policy for rolling stock critical system. Institute of Mechanical Engineers (IMechE).

    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 proceedingConference contribution

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    T1 - Towards implementing condition based maintenance policy for rolling stock critical system

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    AU - Dinmohammadi, Fateme

    AU - Ramani, Abhinay

    N1 - Asked author about host publication, acceptance etc. ET x 2

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    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 -

    Alkali B, Dinmohammadi F, Ramani A. Towards implementing condition based maintenance policy for rolling stock critical system. In Towards implementing condition based maintenance policy for rolling stock critical system. Institute of Mechanical Engineers (IMechE). 2018