Load Haul Dumpers (LHDs) are prominent equipment employed for transportation operations in many of the underground mines. This equipment often suffers from frequent breakdowns due to a variety of technical and managerial practices resulting in increased maintenance costs and loss of production and productivity. Reliability, Availability and Maintainability (RAM) analysis deal with the optimal functioning of equipment, maintenance scheduling, controlling cost, and improvement of availability and performance. Keeping this in view, the current study focused on the estimation of the performance of the equipment using RAM investigation. The required failure and repair data of LHDs were collected from field investigations. Graphical analyses using Trend and serial correlation tests and analytical analysis using Statistic-U test were conducted to validate the Independent and Identical Distribution (IID) nature of the data sets. Based on the above tests, the Renewal Process was adopted to carry out the RAM analysis. The best-fit approximation of datasets was selected by performing the Kolmogorov–Smirnov (K–S) test. In addition to that, the reliability-based Preventive Maintenance time intervals were estimated to improve the percentage of reliability.

装载运输自卸车 (LHD) 是许多地下矿井中用于运输作业的重要设备。由于各种技术和管理实践，该设备经常遭受频繁故障，从而导致维护成本增加以及生产和生产力损失。可靠性、可用性和可维护性 (RAM) 分析涉及设备的最佳运行、维护计划、控制成本以及可用性和性能的改进。考虑到这一点，当前的研究侧重于使用 RAM 调查来估计设备的性能。从现场调查中收集了 LHD 所需的故障和维修数据。进行了使用趋势和序列相关性检验的图形分析以及使用统计-U 检验的分析分析，以验证数据集的独立和相同分布 (IID) 性质。基于以上测试，采用Renewal Process进行RAM分析。通过执行 Kolmogorov-Smirnov (K-S) 测试来选择数据集的最佳拟合近似值。除此之外，估计了基于可靠性的预防性维护时间间隔以提高可靠性百分比。