The development of Digital Twin (DT) has become popular. A dominant description of DT is that it is a software representation that mimics a physical object to portray its real-world performance and operating conditions of an asset. It uses near real-time data captured from the asset and enables proactive optimal operation decisions. There are many other definitions of DT, but not many explicit evaluations of DT performance found in literature. The authors have an interest to investigate and evaluate the quality and stability of appropriate DT techniques in real world aircraft Maintenance, Repair, and overhaul (MRO) activities. This paper reviews the origin of DT concept, the evolution and development of recent DT technologies. Examples of DTs in aircraft systems and transferable knowledge in related vehicle industries are collated. The paper contrasts the benefits and bottlenecks of the two categories of DT methods, Data-Driven (DDDT) and Model-Based (MBDT) models. The paper evaluates the applicability of the two models to represent vehicle system management. The authors present their methodological approach on Predictive Maintenance (PM) development basing on reliable DT models for vehicle systems. This paper contributes to design, operation, and support of aircraft/vehicle systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Review of Digital Twin for Vehicle Predictive Maintenance System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Wang, Chengwei (Autor:in) / Fan, Ip-Shing (Autor:in) / King, Stephen (Autor:in)

    Kongress:

    2023 AeroTech ; 2023



    Erscheinungsdatum :

    2023-03-07




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    A Review of Digital Twin for Vehicle Predictive Maintenance System

    Wang, Chengwei / Fan, Ip-Shing / King, Stephen | British Library Conference Proceedings | 2023


    Predictive maintenance method and system based on digital twin model

    LEE DONG HOON | Europäisches Patentamt | 2023

    Freier Zugriff

    Predictive Maintenance of Automotive Component Using Digital Twin Model

    JAGTAP, PRAMOD / Hiwase, Shrikant Deokrishna | SAE Technical Papers | 2022


    Predictive Maintenance of Automotive Component Using Digital Twin Model

    Hiwase, Shrikant Deokrishna / JAGTAP, PRAMOD | British Library Conference Proceedings | 2022


    VEHICLE LIFT PREDICTIVE MAINTENANCE SYSTEM UTILIZING IOT

    PARK RAE KYUNG | Europäisches Patentamt | 2023

    Freier Zugriff