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.
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Univ G dAnnunzio Chieti, Dipartimento Farm, I-66013 Chieti, ItalyUniv G dAnnunzio Chieti, Dipartimento Farm, I-66013 Chieti, Italy
D'Amico, Guglielmo
Manca, Raimondo
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Univ Roma La Sapienza, Dipartimento Metodi & Modelli Econ Terr & Finanza, I-00161 Rome, ItalyUniv G dAnnunzio Chieti, Dipartimento Farm, I-66013 Chieti, Italy
Manca, Raimondo
Corini, Chiara
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Univ Roma La Sapienza, Dipartimento Metodi & Modelli Econ Terr & Finanza, I-00161 Rome, ItalyUniv G dAnnunzio Chieti, Dipartimento Farm, I-66013 Chieti, Italy
Corini, Chiara
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Petroni, Filippo
Prattico, Flavio
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Univ Roma La Sapienza, Dipartimento Metodi & Modelli Econ Terr & Finanza, I-00161 Rome, ItalyUniv G dAnnunzio Chieti, Dipartimento Farm, I-66013 Chieti, Italy
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Le Mans Univ, Lab Manceau Math, F-72000 Le Mans, France
Univ Lorraine, LIEC, CNRS, F-57000 Metz, FranceLe Mans Univ, Lab Manceau Math, F-72000 Le Mans, France
Votsi, Irene
Bouzebda, Salim
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Univ Technol Compiegne, Lab Math Appl Appl Compiegne, CS 60319, F-60203 Compiegne, FranceLe Mans Univ, Lab Manceau Math, F-72000 Le Mans, France