Abstract
The paper presents a model of risk analysis of dumper operation with the aim of determining the most common reason for unplanned stoppages, as well as, after classifying stoppages by system, to evaluate them from the aspect of risk. The set criteria for risk analysis are: time spent in downtime, frequency of downtime and level of danger. The results of the research indicated the causes of high risk on the observed machines, on the basis of which priority preventive maintenance measures can be refined in order to reduce risk. Furthermore, in the research on risk prevention of the operation of transport and mining machines, the online contextual and adaptive expert system HAMRISK was developed and the advantages and disadvantages of the developed software solution were examined in practice.
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