Integrated Risk Assessment on Argon Purification Unit Based on FMECA and Fuzzy-AHP

Rengga Sanditya, A. I. Juniani, H. N. Amrullah, Wiediartini Wiediartini
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引用次数: 4

Abstract

Argon Purification Unit is a processing unit to purify the crude argon using hydrogen gas through an automatic machinery process. Based on the hazardous material and its automatic machinery process, the argon purification unit needs to be assessed for risk control consideration and business performance. This research proposed risk assessment of argon purification unit based on the failure modes using Failure Modes, Effects and Criticality Analysis (FMECA) with Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) approach to minimize the risks and losses. In this research, FMECA is used to identify the potential failure modes, failure mechanism (causes), potential failure effects for each unit component and evaluate the risk by determining risk priority number (RPN). The RPN is the product of severity, occurrence, and detection variables. Then, Fuzzy-AHP is used to determine the weight of each variable based on its hierarchy. The fuzzy-AHP approach aims to increase validity and decrease expert judgment subjectivity in the risk assessment process for each failure mode by considering variables’ weight. The result of RPN is gained by multiplying each failure mode’s variables by considering the importance of variables. This research results weight of severity is 0.43, which is the highest of all variables. The highest RPN is 8.76, shown by the leaked joint of the argon compressor. This research indicates that the application of the fuzzy-AHP approach in FMECA can identify and evaluate the potential risk of the Argon Purification Unit validly and objectively, which provides the different weight of RPN variables.
基于FMECA和模糊层次分析法的氩气净化装置综合风险评价
氩气净化装置是利用氢气通过自动化机械工艺提纯粗氩气的处理装置。根据危险物质及其自动化机械过程,需要对氩气净化装置进行风险控制考虑和经营绩效评估。本研究提出了基于失效模式的氩气净化装置风险评估方法,采用失效模式、影响和临界性分析(FMECA)与模糊层次分析法(Fuzzy- ahp)相结合的方法,将风险和损失最小化。本研究采用FMECA方法识别各单元部件的潜在失效模式、失效机理(原因)、潜在失效效应,并通过确定风险优先级数(RPN)对风险进行评估。RPN是严重性、发生率和检测变量的乘积。然后,运用模糊层次分析法,根据各变量的层次确定其权重。模糊层次分析法通过考虑变量的权重,提高了各失效模式风险评估过程中的有效性,降低了专家判断的主观性。考虑各失效模式变量的重要性,将各失效模式变量相乘得到RPN的结果。本研究结果严重性权重为0.43,在所有变量中权重最高。氩气压缩机泄漏接头的RPN最高,为8.76。研究表明,在FMECA中应用模糊层次分析法可以有效、客观地识别和评价氩气净化装置的潜在风险,并提供了不同RPN变量的权重。
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