Semi-Markov approach for reliability modelling of light utility vehicles

Vehicles are important elements of military transport systems. Semi-Markov processes, owing to the generic assumption form, are a useful tool for modelling the operation process of numerous technical objects and systems. The suggested approach is an extension of existing stochastic methods employed for a wide spectrum of technical objects; however, research on light utility vehicles complements the subject gap in the scientific literature. This research paper discusses the 3-state semi-Markov model implemented for the purposes of developing reliability analyses. Based on an empirical course of the operation process, the model was validated in terms of determining the conditional probabilities of interstate transitions for an embedded Markov chain, as well as parameters of time distribution functions. The Laplace transform was used to determine the reliability function, the failure probability density function, the failure intensity, and the expected time to failure. The readiness index values were calculated on ergodic probabilities.

Automated summary

This research paper discusses the implementation of a 3-state semi-Markov model for reliability analyses in military vehicles. The model was validated using empirical data and provided insights into the conditional probabilities of state transitions and time distribution functions. The Laplace transform was employed to determine various reliability parameters, including the failure probability density function and the expected time to failure. The readiness index values were also calculated based on ergodic probabilities.