MINING MACHINES' DOWNTIME/FAILURE LEVEL OF DANGER OF CONSEQUENCES AND ESTIMATED RISK OF FAILURE – PRELIMINARY RESEARCH

Abstract

Mining industry has a vital role in economy every country. That is the reason why is necessary to detect, remove or mitigate and prevent risk failures of mining machinery. In order to achieve that the first step is to identify and compare downtimes/failures and estimated risks. In this paper it was conducted the preliminary research that included 348 mining machines divided in 7 different types. The aim of the research was to determinate is there statistically significant difference between different types of mining machines in two criteria: level of danger of consequences of downtime/failure and estimated failure risk by using Kruskal - Wallis H Test. The results indicate that when it comes to level of danger of consequences there is no statistically proof that there is difference between different types of the machines. In case of estimated failure risk, there is statistically significance between some types of mining machines.