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The efficient operation of heavy machinery is crucial to the success of mining and civil construction operations. To guarantee this performance, equipment performance is assessed using the Reliability Index, which analyzes failures to study the ability of a system to carry out its intended functions under predetermined conditions. On the other hand, the failure rate and operational environmental condition (such as management decisions, maintenance performance, etc., that are defined as "risk factors") over the life cycle of industrial systems pose a significant challenge to reliability analysis. This paper proposes an approach to address these challenges by extending Weibull family functions with regression models. Then, the effectiveness of this approach using 12-month failure data from the Komatsu 785-5 dump-truck engine refueling system is demonstrated. The most appropriate reliability function for two scenarios with different environmental conditions over the performance interval is fitted. The results indicate that both scenarios exhibit lower reliability than the baseline, highlighting the influence of environmental conditions on equipment reliability.
Qarahasanlou et al. (Wed,) studied this question.