Primena metoda industrijskog inženjerstva u analizi upravljanja ponašanjem otkaza kod motornih vozila

Abstract

U radu je izložena metodologija grupisanja i obrade podataka o otkazima na motornim vozilima u posmatranom uzorku. Primenom neparametarskog testa Kolmogorov-Smirnov, moguće je ustanoviti jednakost raspodela izabranih vrsta pojava otkaza motornog vozila. Korišćenjem generativnog polinoma, moguće je ustanoviti uticaj nezavisnih slučajnih veličina koje imaju nepoznatu raspodelu. Primenom proizvoda polinoma sa kompleksnim koeficijentima moguće je odrediti funkciju za predviđanje određenih pojava otkaza u okviru sistema održavanja vozila. Rezultati primene funkcije za predviđanje određenih pojava otkaza na posmatranom uzorku motornih vozila omogućavaju praćenje ponašanja odabranih pojava otkaza na posmatranim motornim vozilima.

The paper presents the methodology of grouping and processing of the data related to the motor vehicles' breakdowns in the observed sample. In order to perform statistical research with possible motor vehicle behaviour prediction, it is needed to have perennial tracking of selected population features. Using a non-parametric statistical Kolmogorov-Smirnov test, it is possible to identify the distribution affinity of particularly selected vehicle features in terms of breakdowns phenomena. By the introduction of advanced polynomials computation, it is possible to determine the function for prediction of certain vehicle breakdowns in the vehicle maintenance system. The results of the application of the function for prediction of certain vehicle breakdowns in the observed sample of motor vehicles allow monitoring of the behaviour of certain vehicle breakdowns. By the introduction of polynomials concentration, it is possible to overcome the problem of handling with generative polynomial functions with a high degree.