Comparison of failure duration and faailure frequency of mining machines using the Kruskal-Wallis H test (one-way ANOVA on ranks) - preliminary research

Abstract

Mining is considered one of the most risky industrial operations. Development and application of risk assessment methods has the greatest impact on improvements in terms of safety in mining equipment. Risk is analyzed in many aspects i.e. human factor, environmental impact and operational aspects. Analyzing the mining machinery is a way to determine which ones have the greatest tendency to fail. The aim of this research is to compare data on failures obtained from 348 mining machines. All machines are arranged in 7 groups, namely 50 excavators, 50 bulldozers, 48 drills, 50 dumpers, 50 backhoe loaders, 50 bucket wheel excavators and 50 loaders. In order to compare the data, it is necessary to first determine the distribution under which the data belong. That is achieved by using Kolmogorov-Smirnov test. After that the Kruskal-Wallis test was used to determine whether there is a relationship between the machines, viewed from the aspects of failure duration and failure frequency.