Abstract:
The article is devoted to the definition of promising excavator designs. The
paper presents current models of excavators operating on the territory of the Republic of
Kazakhstan. The main technical characteristics of the machines are considered. Statistical
analysis and processing in the software environment were carried out. Summary
statistics for each of the selected data variables are provided. It includes measures of
central tendency, measures of variability and measures of form. Based on the correlation
matrix of indicators, it was revealed that the weight of the excavator has the greatest
relationship with the digging depth, its capacity and bucket volume. Cluster analysis
was carried out using the software package. As a result of cluster analysis, it was
determined that the existing excavator designs can be divided into three groups.
Histograms of the distribution are constructed. With their help, modal intervals and the
middle are determined. The criterion of significance and the weighting coefficient for
each indicator are determined. The coefficient of the technical level is calculated. Based
on the results of the technical level, promising indicators of power values, digging
depth, bucket volume and excavator weight are proposed.
