Maintenance work for a propulsion engine system has been one of the most important ones onboard. Periodic inspection and repairs as a preventive maintenance are essential procedures to avoid onboard maintenance in case of occurrence of failures. As a propulsion engine system consists of a large number of components, it takes much labor and time to make a maintenance schedule and to do actual maintenance works. Maintenance data can be used as a basis of deterioration prediction of each component, therefore, accumulation of the data and statistical analysis of them are essential for the preventive maintenance. The autors propose a structural modeling and a functional modeling as a container that accumulates those maintenance data and gives relations among them. The structural model has components and mechanical, thermal and chemical relations among them. Initial definition of the model is given as a default one by a system designer. Initial relations are also set according to recommendations by the designer. Two types of soundness of each component can be considered each corresponding to wear and accumulation of damage. MTBF (Mean Time Between Failure) is used in the deterioration parameter. For example, the soundness index is linearly decreasing to the threshold in the time interval related to the corresponding MTBF. Once some relationship or mechanism has been found, the deterioration model can be improved according to the new knowledge. Observation with various sensors and human inspections modifies the present states of the model and the running data are accumulated. This model can be used in searching causes of failures and in predicting damages induced by the failures. This model is also useful for making an appropriate maintenance schedule.


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    Titel :

    Advanced maintenance for maritime diesel engine based on structural and functional modeling


    Beteiligte:
    Numano, M. (Autor:in) / Ishimura, E. (Autor:in) / Nishio, S. (Autor:in)


    Erscheinungsdatum :

    2000


    Format / Umfang :

    6 Seiten, 5 Bilder, 2 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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