穿孔设备故障控制分析方法及应用研究

发布时间：2018-04-27 03:20

本文选题：钻机故障 + 蒙特卡罗法　；参考：《昆明理工大学》2015年硕士论文

【摘要】：矿山生产设备是矿山企业生产能力的必要保障,有设备的使用就会有设备的故障。根据系统安全理论的观点,在生产使用中,设备的故障状态不可能被完全排除。就应着眼于控制故障率,把故障降低到可接受的程度；应通过改善设备技术与管理方面的有效性,即可靠性,来减少设备的故障。本文以露天矿特定类型的穿孔设备为样本,以这些设备的使用、维修记录数据为素材,运用可靠性分析方法,对穿孔设备故障控制的影响因素及改进措施进行了定性、定量分析。研究内容包括穿孔设备可靠性特征量的统计分析、可靠性随机模拟模型的建立、可靠性改进指标的验证等方面。在符合设备可靠性特征量的前提下,分析了影响设备可用时间的主要因素,通过随机模拟模型试验,对各影响因素变化引起的设备有效度改变结果进行了分析,明确提高设备利用率的主要改进途径。论文运用FMECA、FTA分析,选择了设备重要单元的维护或更换策略,将设备的故障率控制在可接受的范围内,提高了设备生产能力。论文的研究成果如下：(1)KQ-200型钻机在规定时间内完成进尺、运转时长和待活时长的概率呈正态分布；而维修时长、待修时长的概率呈负指数分布。(2)分别按钻机各自的特征量建立了设备可靠性分析的随机模拟模型并通过了验证。模拟试验结果可为企业改善设备使用与维修工作提供参考。(3)穿孔设备故障率控制方案模拟结果显示,采取综合管理措施对提高设备利用率的效果最为显著,各台钻机的全年工作天数可分别提高5～9%：缩短待活时间对提高各台钻机的工作效率也有明显效果。(4)通过FMECA、 FTA分析得到了KQ-200型钻机的故障类型、原因及影响度指标。确定了潜孔钻机危害性最高的组成结构及由元器件故障率决定的钻机故障率,提出了整改措施。(5)运用可靠性分析方法,对以随机方式出现的设备故障事件,用随机模拟的方法进行分析或预测,可以成为改善矿山设备管理,提高设备生产能力的有效手段。
[Abstract]:Mine production equipment is the necessary guarantee of mine production capacity, the use of equipment will lead to equipment failure. According to the system safety theory, the fault state of the equipment can not be completely eliminated in production and use. The failure rate should be controlled to an acceptable level, and the equipment failure should be reduced by improving the technical and management effectiveness of the equipment, that is, reliability. Taking the specific type of perforated equipment in opencast mine as the sample, taking the use of these equipment and the data of maintenance record as the material, and using the method of reliability analysis, the influencing factors and improving measures of the fault control of perforation equipment are qualitatively analyzed. Quantitative analysis. The research contents include the statistical analysis of reliability characteristic quantity of perforated equipment, the establishment of reliability stochastic simulation model, the verification of reliability improvement index and so on. Under the premise of accord with the characteristic quantity of equipment reliability, the main factors influencing the available time of the equipment are analyzed, and the result of the change of the equipment availability caused by the change of each factor is analyzed through the random simulation model test. Identify the main ways to improve the utilization of equipment. In this paper, FMECA-FTA analysis is used to select the maintenance or replacement strategy of important equipment units, to control the failure rate of the equipment within an acceptable range, and to improve the equipment production capacity. The research results of this paper are as follows: 1) the KQ-200 drilling rig has completed the ruler in a specified time, and the probability of the running time and the waiting time is normal distribution, while the maintenance time is long, The probability of the waiting time is negative exponential distribution. (2) the random simulation model of equipment reliability analysis is established according to the respective characteristic quantity of drill rig and verified. The simulation results show that the comprehensive management measures are the most effective to improve the utilization rate of the equipment, and the simulation results show that the failure rate control scheme of the perforating equipment can be used as a reference for the improvement of the equipment use and maintenance work. The annual working days of each rig can be increased by 5 / 9 respectively: shortening the waiting time also has obvious effect on improving the working efficiency of each rig. The failure type, cause and influence index of KQ-200 drilling rig are obtained by FMECA and FTA analysis. This paper determines the most harmful component structure of submersible drilling rig and the failure rate of drilling rig determined by the failure rate of components and devices, and puts forward the rectification measures. 5) using reliability analysis method to deal with the equipment failure events that occur in random way. The method of stochastic simulation can be used to improve the management of mine equipment and increase the production capacity of equipment.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD40

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