Industrial Internet of Things (IIoT) enabled predictive analytics have enabled the manufacturing sector to transition from reactive to proactive maintenance. This article discusses the use of predictive analytics in the IIoT field of preventive maintenance. The objectives consist of increased output, availability, and decreased malfunctions-research on preventive maintenance cast light on its evolution. The proposed work presents a framework for IIoT data acquisition, cleansing, feature selection, and analytical processing. Experiments and case studies validate the methodology. Utilizing predictive analytics for routine maintenance can improve the effectiveness and productivity of machinery. Data integrity, model consistency, and scalability must be resolved before implementation. The proposed work's findings and recommendations have significant implications for future research into predictive analytics for proactive maintenance in IIoT systems and for industry practitioners.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Predictive Analytics for Proactive Maintenance in Industrial IoT Applications


    Beteiligte:


    Erscheinungsdatum :

    22.11.2023


    Format / Umfang :

    391528 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Proactive and predictive

    French, Peter / Kalay, Semith / Guin, Tom | IuD Bahn | 2009


    Navy Proactive Maintenance

    Hedderich, C.P. | Online Contents | 1996


    PROACTIVE STRATEGY MAINTENANCE

    Stanisław RADKOWSKI / Robert GUMIŃSKI | DOAJ | 2014

    Freier Zugriff


    Reactive to Proactive Maintenance Journey

    Warren, David A. | SAE Technical Papers | 2016