Dumper operation risk analysis model and HAMRISK expert system

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.

Selection of an algorithm for the prediction of stoppages and/or failure of excavation units using supervised machine learning

“…With expert ratings from 1 to 10, all stoppages were rated so that a stoppage with a score of 10 represents a stoppage with the highest level of danger (the most probable occurrence of an incident and/or accident). The structure of stoppages and risk assessment using different methods is described in the papers (Misita et al, 2021;Spasojević Brkić et al, 2022;Spasojević Brkić et al, 2023).…”

“…The first attempt is the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc. ), whose hierarchical structure is presented in (Misita et al, 2022), A multi-agent system-based framework for excavator problem diagnosis was presented by the authors in (Tang et al, 2012). Nevertheless, their technology has not been put into use or validated-just the general design has been shared.…”

Artificial Neural Network Model for Predicting Excavator Downtime

“…On the other hand, many authors rely on quantitative data and various types of Failure Modes, Effects, and Analysis (FMEA) for their research (Karasan et al, 2018;Kumar and Kumar, 2016;Misita et al, 2021;Zeng et al, 2020). Accordingly, a more precise method of analysing safety and critical effects has emerged, which involves the use of Pythagorean fuzzy sets (Karasan et al, 2018).…”

Pareto analysis in bulldozer's failures and stoppages risk management

“…Kazan & Usmen (2018) add that bulldozers have 31.8% as degree of injuries and notice that they together with backhoes still have the highest frequency of accidents and fatalities. Misita et. al., (2022) focused on dumper operation risk analysis model and as criteria for risk analysis are: time spent in downtime, frequency of downtime and level of danger, while Misita et al (2021) have compared impact of mechanical and technological mining machinery time in fault and mechanical and technological mining machinery downtime frequencies on machine work done.…”

“…al., (2022) focused on dumper operation risk analysis model and as criteria for risk analysis are: time spent in downtime, frequency of downtime and level of danger, while Misita et al (2021) have compared impact of mechanical and technological mining machinery time in fault and mechanical and technological mining machinery downtime frequencies on machine work done. Spasojević-Brkić et al (2022) focused on leadership style and transport and mining machines' operator's attitudes in the safety climate context and Serbian operators' population.…”