Decision Support System for Condition Monitoring Technologies

Abderrahim Mouatamir

    Research output: ThesisPd Eng Thesis

    132 Downloads (Pure)

    Abstract

    The technological feasibility of a condition-based maintenance (CBM) policy is intrinsically related to the suitable selection of condition monitoring (CM) technologies such as vibration- and oil analysis or other non-destructive testing (NDT) techniques such as radiographic- and magnetic particle testing. However, in practice the selection can be quite complex due to the tremendous number of variables that need to be taken into account. These variables can be classified into three categories: (1) variables that are inherently related to the features of the system to be monitored (e.g. material composition, geometry and motion); (2) variables that are related to the supposedly selected CM technology(-ies) (e.g. physical limitations and diagnostic capabilities); and (3) variables that are related to the failure mechanism under which the system predominantly fails (e.g. corrosion, wear and fatigue). Finding the optimum combination of these variables, with the aim of selecting the most suitable CM technology(-ies), is the objective of the decision support system (DSS) presented in this thesis.
    Original languageEnglish
    Awarding Institution
    • University of Twente
    Supervisors/Advisors
    • Tinga, Tiedo , Supervisor
    • Loendersloot, Richard , Co-Supervisor
    Award date28 Mar 2018
    Place of PublicationEnschede
    Publisher
    Print ISBNs978-90-365-4519-8
    DOIs
    Publication statusPublished - 28 Mar 2018

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    Condition monitoring
    Decision support systems
    Nondestructive examination
    Wear of materials
    Fatigue of materials
    Corrosion
    Geometry
    Testing
    Chemical analysis

    Cite this

    Mouatamir, Abderrahim . / Decision Support System for Condition Monitoring Technologies. Enschede : University of Twente, 2018. 125 p.
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    Decision Support System for Condition Monitoring Technologies. / Mouatamir, Abderrahim .

    Enschede : University of Twente, 2018. 125 p.

    Research output: ThesisPd Eng Thesis

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    AU - Mouatamir, Abderrahim

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