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首页> 外文期刊>Fresenius environmental bulletin >A NOVEL CONCURRENT RISK IDENTIFICATION AND ANALYSIS METHOD FOR EQUIPMENT FAILURE BY COMBINING PETRI NET REASONING AND AN EXTENDED FMEA USING FOR SAFE OIL AND GAS STORAGE AND TRANSPORTATION ENVIRONMENT
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A NOVEL CONCURRENT RISK IDENTIFICATION AND ANALYSIS METHOD FOR EQUIPMENT FAILURE BY COMBINING PETRI NET REASONING AND AN EXTENDED FMEA USING FOR SAFE OIL AND GAS STORAGE AND TRANSPORTATION ENVIRONMENT

机译：结合Petri网推理和安全油气储运环境的扩展FMEA的设备故障新并发风险识别与分析方法。

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摘要

Expert experience and knowledge can provide unstructured and non-detectable fault data for equipment safety management. Therefore, knowledge- based risk analysis is integral compared with signal- based and quantitative data-driven equipment risk analysis methods. Petri net is an intuitive and dynamic knowledge representation and risk reasoning tool. The concurrent risks are particularly focused during reasoning process by proposing a backward- forward reasoning strategy. First, equipment components failure is described as production rules based on expert knowledge. Then Petri net is presented to depict complex cause-effect relationships among components graphically. Furthermore, concurrent risk reachability tree modeling method is presented to trace risk propagation paths. To identify potential concurrent risks, concurrent forward reachability set is first defined for risk reachability tree. In this paper, the method was applied to a reciprocating compressor failure risk identification case. Through concurrent risk analysis, an extended Failure Mode and Effects Analysis (FMEA) for the reciprocating compressor can be conducted. The results show that the proposed method can reveal not only evident risks but also potential risks. Therefore, it can provide the basis for the equipment preventive maintenance and risk management and maintaining safe oil and gas storage and transportation environment.
机译：专家的经验和知识可以为设备安全管理提供非结构化且不可检测的故障数据。因此，与基于信号和定量数据驱动的设备风险分析方法相比，基于知识的风险分析是不可或缺的。 Petri网是一种直观，动态的知识表示和风险推理工具。并发风险在推理过程中通过提出后向推理策略而特别集中。首先，将设备组件故障描述为基于专家知识的生产规则。然后提出Petri网，以图形方式描述组件之间的复杂因果关系。此外，提出了并发风险可达性树建模方法来跟踪风险传播路径。为了识别潜在的并发风险，首先为风险可及性树定义并发前向可及性集。本文将该方法应用于往复式压缩机故障风险识别案例。通过并发风险分析，可以对往复式压缩机进行扩展的故障模式和影响分析（FMEA）。结果表明，该方法不仅可以揭示明显的风险，还可以揭示潜在的风险。因此，它可以为设备的预防性维护和风险管理以及维护安全的油气储运环境提供依据。

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