Application of semi-Markov processes for evaluation of diesel engines reliability with regards to diagnostics

Jerzy Girtler

Application of semi-Markov processes for evaluation of diesel engines reliability with regards to diagnostics

Abstract

The paper presents semi-Markov models of technical state transitions for diesel engines, useful for determination of their reliability, as a result of the conducted statistical empirical studies. Interpretation of technical states provided for this sort of engines refers to ship main engines, i.e. engines employed in propulsion systems of sea-going ships. The considerations recognize diesel engine as a diagnosed system (SDN), of which state can be identified by a diagnosing system (SDG). Both of the systems: SDN and SDG compose a diagnostic system (SD). Examples of three-state semi-Markov models were applied to demonstrate that in case of use of proper diagnosing systems (SDG) for identification of technical states of such engines as SDN, by classification of the states to the relevant class of the reference states, it is possible to make use of a Markov model to determine reliability of the engines. For developing a Markov model of state transitions for the engines, there were applied functions of the risk of damage: 12 that causes transition from state s1 to state s2, and 13 that causes transition from state s1 to state s3, as well as intensity functions of recovery (restitution): 21 that causes transition from state s2 to state s1, and 31 that causes transition from state s3 to state s1.

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Jerzy Girtler prof. dr hab. inż.

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: Journal of Polish CIMEEAC no. 11, pages 47 - 53,
ISSN: 1231-3998
Language:: English
Publication year:: 2016
Bibliographic description:: Girtler J.: Application of semi-Markov processes for evaluation of diesel engines reliability with regards to diagnostics// Journal of Polish CIMAC. -Vol. 11., nr. 1 (2016), s.47-53
Verified by:: Gdańsk University of Technology