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A model for optimal armature maintenance in electric haul truck wheel motors: a case study

机译:电动卡车车轮电机最佳电枢维护的模型:案例研究

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The objective of the work presented in this paper is the determination of an optimal age-based maintenance strategy for wheel motor armatures of a fleet of Komatsu haul trucks in a mining application in Chile. For such purpose, four years of maintenance data of these components were analyzed to estimate their failure distribution and a model was created to simulate the maintenance process and its restrictions. The model incorporates the impact of successive corrective (on-failure) and preventive maintenance on necessary new component investments. The analysis of the failure data showed a significant difference in failure distribution of new armatures versus armatures that had already undergone one or several preventive maintenance actions. Finally, the model was applied to calculate estimated costs per unit time for different preventive maintenance intervals. From the resulting relationship an optimal preventive maintenance interval was determined and the operational and economical consequences and effects with respect to the actual strategy were quantified. The application of the model resulted in the optimal preventive maintenance interval of 14,500 operational hours. Considering the failure distribution of the armatures, this optimal strategy is very close to a run-to-failure scenario.
机译:本文提出的工作目标是确定在智利采矿应用中的小松运输卡车车队的轮毂电枢的基于年龄的最佳维护策略。为此,对这些组件的四年维护数据进行了分析,以估计它们的故障分布,并创建了一个模型来模拟维护过程及其限制。该模型结合了连续的纠正(故障)和预防性维护对必要的新组件投资的影响。对故障数据的分析表明,新电枢的故障分布与已经进行了一种或几种预防性维护措施的电枢的故障分布有显着差异。最后,该模型用于计算不同预防性维护间隔的每单位时间的估计成本。根据由此产生的关系,确定最佳的预防性维护间隔,并对相对于实际策略的运营和经济后果及影响进行量化。该模型的应用导致最佳预防性维护间隔为14,500个工作小时。考虑到电枢的故障分布,这种最佳策略非常接近于运行失败的情况。

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