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RESEARCH PAPER
A method for calculating the technical readiness of aviation refuelling vehicles
 
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Military Academy, Warsaw, Poland
 
2
Faculty of Mechanical Engineering, Military University of Technology, Poland
 
3
Faculty of Mechanical Engineering, Military University of Technology, Poland, Poland
 
 
Submission date: 2024-01-19
 
 
Final revision date: 2024-03-13
 
 
Acceptance date: 2024-04-23
 
 
Online publication date: 2024-04-30
 
 
Publication date: 2024-04-30
 
 
Corresponding author
Jarosław Ziółkowski   

Military Academy, Warsaw, Poland
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):187888
 
HIGHLIGHTS
  • The operation process of an aviation refuelling vehicle was developed.
  • Calculations have been made for the several (five) scenarios according to the planned flight table.
  • The results for Markov chain and Markov process were discussed.
  • The technical readiness of aviation refuelling vehicles supplying fuel to aircraft was investigated.
  • The limit probabilities for the Markov process were compare with the total presence times of the tested sample.
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ABSTRACT
In the paper a mathematical model of the process of operating aviation refuelling vehicles supplying fuel to aircraft before flight was developed. The present work is a continuation and supplement to the model contained in [52]. The phase space of the process under study was mapped by a 7-state directed graph of the operation process. To calculate the technical readiness index (K_gt) Markov chains and processes were used. Also, in Section 3, Results and discussions, optional methods for determining the technical readiness coefficient of a vehicle were provided k_gt) , based on the total time of the object in individual operating states. This is an alternative in a situation where the analysed process cannot reach a stable average state indefinitely. Two types of measures were used to determine the readiness, i.e. border probabilities and average times of the object in individual states. In both cases, the basis was statistical databases with operational vehicle data, which enabled the calculation of the readiness index and coefficient.
ACKNOWLEDGEMENTS
This research was funded by the Military University of Technology, grant number UGB 22-835.
eISSN:2956-3860
ISSN:1507-2711
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