Predicting the reliability of marine internal combustion engines, for instance, is of particular importance, as it makes it possible to predict their future reliability states based on the information on the past states. Correct reliability prediction is a complex process which consists in processing empirical results obtained from operating practice, complemented by analytical considerations. The process of technical state changes of each mechanical device is stochastic and continuous in states and time, hence the need to divide this infinite set of engine states into a finite number of subsets (classes), which can be clearly and permanently identified using the existing diagnosing system. Using the engine piston-crankshaft system as an example, the article presents a proposal for a mathematical model of reliability which, on the one hand, takes into account random nature of phenomena leading to the damage, and at the same time reveals certain application flexibility and the resultant practical usability.


    Access

    Download


    Export, share and cite



    Title :

    Application Isssues of the Semi-Markov Reliability Model


    Contributors:


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Application Isssues of the Semi-Markov Reliability Model

    Rudnicki, Jacek | Online Contents | 2015


    Numerical evaluation of reliability of semi-Markov systems

    Bousfiha, A. / Delaporte, B. / Limnios, N. | British Library Online Contents | 1996


    Reduction Of Sizes Of Semi-Markov Reliability Models

    White, Allan L. / Palumbo, Dan L. | NTRS | 1995


    Semi-Markov Based Reliability Analysis for Flight Control Software

    He, Zhili / Chen, Wei / Dang, Yuanfang et al. | IEEE | 2018


    Markov Reliability Model for Heat Meters

    Pałasz Przemysław / Żurek Józef / Przysowa Radosław | DOAJ | 2018

    Free access