System Reliability Analysis of Large Capacity Electric Mining Trucks Used in Coal Mining

IF 0.9 Q3 STATISTICS & PROBABILITY Journal of Reliability and Statistical Studies Pub Date : 2023-07-11 DOI:10.13052/jrss0974-8024.1614
Sedat Toraman
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引用次数: 1

Abstract

In today’s world where competition is increasing, the focus of all efforts on meeting production targets at the lowest possible cost has increased the need for maximum benefit from existing machinery/equipment. In this context, availability, reliability and maintainability analysis have become the basic tools to be used in meeting this need. In this study, reliability, maintainability and availability values were determined using the operation and repair data (2019) of large capacity electric trucks used in the Manisa-Soma coal field. First of all, each truck was analyzed and then the analysis of the entire truck system was performed. In this context, RAM analysis of all trucks was performed and then the general reliability of the entire truck system was calculated by considering the working order in the enterprise. According to this; The truck with the highest reliability is the truck with door number 555 and the reliability rate is 77.04%, and the truck with the lowest reliability is the truck number 556 with a rate of 26.31%. As a result of the maintainability analysis, the truck with the 553 door number had the highest maintainability with a rate of 73.52%. The truck numbered 549 has the lowest maintainability rate with a rate of 42.21%. As a result of the system analysis, the reliability rate was determined as 24% in R (1000) minutes, 59% in R (500) minutes and 83% in R (250) minutes.
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煤矿用大容量矿用电动卡车系统可靠性分析
在竞争日益激烈的当今世界,所有努力都集中在以尽可能低的成本实现生产目标上,这增加了从现有机械/设备中获得最大利益的需求。在这种情况下,可用性、可靠性和可维护性分析已成为满足这一需求的基本工具。在本研究中,使用Manisa Soma煤田使用的大容量电动卡车的运行和维修数据(2019年)确定了可靠性、可维护性和可用性值。首先,对每辆卡车进行分析,然后对整个卡车系统进行分析。在这种情况下,对所有卡车进行了RAM分析,然后通过考虑企业中的工作顺序来计算整个卡车系统的总体可靠性。据此;可靠性最高的卡车是门编号为555的卡车,其可靠性为77.04%,可靠性最低的卡车是编号为556的卡车,可靠性为26.31%,门号为553的卡车的可维护性最高,为73.52%。门号为549的卡车可维护性最低,为42.21%。系统分析结果表明,可靠性在R(1000)分钟为24%,在R(500)分钟为59%和在R(250)分钟为83%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.60
自引率
12.50%
发文量
24
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