Reliability and Maintainability analysis of a high air pressure compressor facility

Ph.D.  Fayssal M. Safie, Nasa Marshall, Robert W. Ring, Ph.D Stuart K. Cole, P. E. . Nasa, Langley Research Center, VA  Hampton
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引用次数: 3

Abstract

This paper discusses a Reliability, Availability, and Maintainability (RAM) independent assessment conducted to support the refurbishment of the Compressor Station at the NASA Langley Research Center (LaRC). The paper discusses the methodologies used by the assessment team to derive the repair by replacement (RR) strategies to improve the reliability and availability of the Compressor Station (Ref.1). This includes a RAPTOR simulation model that was used to generate the statistical data analysis needed to derive a 15-year investment plan to support the refurbishment of the facility. To summarize, study results clearly indicate that the air compressors are well past their design life. The major failures of Compressors indicate that significant latent failure causes are present. Given the occurrence of these high-cost failures following compressor overhauls, future major failures should be anticipated if compressors are not replaced. Given the results from the RR analysis, the study team recommended a compressor replacement strategy. Based on the data analysis, the RR strategy will lead to sustainable operations through significant improvements in reliability, availability, and the probability of meeting the air demand with acceptable investment cost that should translate, in the long run, into major cost savings. For example, the probability of meeting air demand improved from 79.7 percent for the Base Case to 97.3 percent. Expressed in terms of a reduction in the probability of failing to meet demand (1 in 5 days to 1 in 37 days), the improvement is about 700 percent. Similarly, compressor replacement improved the operational availability of the facility from 97.5 percent to 99.8 percent. Expressed in terms of a reduction in system unavailability (1 in 40 to 1 in 500), the improvement is better than 1000 percent (an order of magnitude improvement).
高压压缩机设备的可靠性和可维护性分析
本文讨论了一项可靠性、可用性和可维护性(RAM)独立评估,以支持美国宇航局兰利研究中心(LaRC)压缩机站的翻新。本文讨论了评估小组为提高压缩机站的可靠性和可用性而采用的替换维修(RR)策略的方法(参考文献1)。这包括一个RAPTOR模拟模型,该模型用于生成所需的统计数据分析,以得出支持设施翻新的15年投资计划。总之,研究结果清楚地表明,空气压缩机已远远超过其设计寿命。压缩机的重大故障表明存在重大的潜在故障原因。考虑到这些高成本故障在压缩机大修后的发生,如果不更换压缩机,应该预计未来会发生重大故障。根据RR分析的结果,研究团队推荐了一种压缩机更换策略。根据数据分析,RR战略将通过显著提高可靠性、可用性和以可接受的投资成本满足空气需求的可能性,从而实现可持续运营,从长远来看,这将转化为主要的成本节约。例如,满足空气需求的概率从基本情况下的79.7%提高到97.3%。以未能满足需求的概率降低(5天1次到37天1次)来表示,改进大约是700%。同样,更换压缩机将设施的运行可用性从97.5%提高到99.8%。用系统不可用性的减少(1 / 40到1 / 500)来表示,改进优于1000%(一个数量级的改进)。
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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