School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran.
Department of Engineering and Safety, UiT The Arctic University of Norway, Tromsø, Norway.
PLoS One. 2020 Jul 15;15(7):e0236128. doi: 10.1371/journal.pone.0236128. eCollection 2020.
It is an essential task to estimate the remaining useful life (RUL) of machinery in the mining sector aimed at ensuring the production and the customer's satisfaction. In this study, a conceptual framework was used to determine the RUL under the reliability analysis in a frailty model. The proposed framework was implemented on a Komatsu PC-1250 excavator from the Sungun copper mine. Also, the Weibull-frailty model was selected to describe the failure behavior and compare it with the classical-exponential model. The frailty model was also used to evaluate the impact of unobserved environmental conditions on the RUL values. Both applied models were fitted to the obtained data from 80 operational hours of the Komatsu PC-1250 excavator. Plotting the results from the reliability analysis of two models demonstrated that the mine system with the frailty model performs better than the classical model before reaching the reliability of 80%. Besides, the frailty model shows a coherent with the operational time of the excavator, while the classical model demonstrates a sinusoid variation. The obtained results may be used for the development of maintenance, preventive repairs planning, and the spare parts replacement intervals.
对矿业机械进行剩余使用寿命 (RUL) 预测是一项重要任务，旨在确保生产和客户满意度。本研究采用可靠性分析中的脆弱性模型来确定 RUL。该框架在松贡铜矿的 Komatsu PC-1250 挖掘机上得到了实施。此外，选择了威布尔脆弱性模型来描述失效行为，并将其与经典指数模型进行比较。脆弱性模型还用于评估未观察到的环境条件对 RUL 值的影响。两个应用模型都适用于从 Komatsu PC-1250 挖掘机 80 个运行小时获得的数据。绘制两个模型的可靠性分析结果表明，在达到 80%的可靠性之前，具有脆弱性模型的矿山系统比经典模型表现更好。此外，脆弱性模型与挖掘机的运行时间具有一致性，而经典模型则表现出正弦变化。所得结果可用于制定维护、预防性维修计划和备件更换间隔。
