Diagnostic strategies play a vital role in achieving high competitiveness, better productivity and improving workplace safety because the technical diagnoses provide solutions for all issues related to the following tasks: determination of the actual technical conditions; detection of the defects; isolation and identification of the component that failed; make the appropriate decision in order to maintain high reliability of machines without having to disassemble any of its parts and explain the malfunction. Furthermore, the prognostic aspect is a very challenging goal in machinery to improve the performance, fixing the error before the malfunction occurs, assessing the condition of the equipment, and whether maintenance is necessary, which will give more specialised recommendations for the operators. The article’s objective is to elaborate the conception of a diagnostic system for marine diesel engines in real-time conditions and find the most proper strategy to develop a diagnostic system that will increase the reliability of machines and reach maximum efficiency. In the first part of the study, the relevant literature is introduced to diagnose machine malfunctions which is vast and varied due to the diversity of systems and components. In the next part of the article, the possibilities of using Artificial Intelligence techniques are described to develop a significantly improved diagnostic system convenient for ship’s operating systems. After that, the determination of diagnostic parameters in diesel engines is described to simplify the complexity and instability of the whole system. In addition, the causes that lead to damages and failures in main engines are introduced. Finally, some perspectives on important challenges and future directions are discussed and highlighted for future research. The main added value of the study is that the conception of the most proper diagnostic and prognostic strategy for the diagnostic system was elaborated, especially for the marine diesel engines, to increase the reliability and efficiency of the engines.


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    Titel :

    Diagnostic and Prognostic Strategies for Monitoring of Diesel Engines’ Technical Conditions


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Jármai, Károly (Herausgeber:in) / Cservenák, Ákos (Herausgeber:in) / Gharib, Hla (Autor:in) / Kovács, György (Autor:in)

    Kongress:

    Vehicle and Automotive Engineering ; 2022 ; MISKOLC, Hungary September 08, 2022 - September 09, 2022



    Erscheinungsdatum :

    2022-09-10


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Andree, A. / Pachernegg, S. J. | SAE Technical Papers | 1969