Determination of the technical level of excavator structures based on parametric analysis

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.