Određivanje funkcije pouzdanosti motornih vozila kao složenog tehničkog sistema / Determination of the reliability function of motor vehicles as complex systems
Rade Guberinić, Ivan Milojević
Vojnotehnički Glasnik · 2009
doi:10.5937/vojtehg0902031g (opens in a new tab)
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Abstract
Kod motornih vozila se, kao posebno značajne promene stanja, posmatraju promene performansi vozila zavisno od njegove starosti, odnosno puta koje je prešlo. Pri razmatranju radnih opterećenja motornih vozila i njihovih sastavnih elemenata, obično se smatra da stvarna radna opterećenja mogu biti mehanička, toplotna i strukturna, što usmerava pažnju na uzroke promena stanja. Polazni kriterijum za ocenu eksploatacionih pokazatelja pouzdanosti i gotovosti motornih vozila predstavlja frekvencija pojava stanja 'u otkazu'. Svi ostali kriterijumi nastaju matematičkom transformacijom ovog kriterijuma. Korišćenjem dobijenih podataka, primenom programskog paketa PROEFI, određeni su parametri za tri posmatrane raspodele: normalnu, eksponencijalnu i Vejbulovu. Nakon određivanja parametara pojedinih raspodela izvršen je izbor optimalne raspodele primenom testa Kolmogorov-Smirnova za stepen značajnosti od 0,20. / Changes in vehicle performances represent important changes of the overall condition of a vehicle and are analyzed regarding its life, ie. its mileage. Since real operational loads are generally considered to be mechanical, temperature-based and structural, the analysis of operational loads of motor vehicles and their elements focuses on the causes of condition changes. The initial criterion for estimating the exploitation reliability and readiness factors of motor vehicles is the frequency of 'in failure' condition occurrence. All other criteria result from the mathematical transformation of this criterion. The obtained data and the PROEFI software package have been used for determining the parameters of three observed distributions: normal, exponential and Veibull. An optimal distribution has been chosen using the Kolmogorov-Smirnof test for a significance level of 0.20.
Abstract licence: CC BY
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