Fault Tree Analysis of Chemical Plants Based on Multi-level Flow Modeling
The fault tree analysis (FTA) is widely applied to the safety evaluation of a large-scale and mission-critical system. Because the potential of the ETA, however, strongly depends on human skill of analyzers, problems are pointed out in (1) education and training, (2) unstable quality, (3) necessity of expertise knowledge, and update of FTA results. To get rid of these problems, many techniques to automate FTA activities by applying computer technologies have been proposed. However, these techniques only use structural information of a target system and do not use functional information that is one of important information of an artifact. The principle of FTA is to trace comprehensively cause-effect relations from a top undesirable effect to anomaly causes. The tracing is similar to the causality estimation technique that the authors proposed to find plausible counter actions to mitigate the undesirable behavior of plants based on the model by a functional modeling technique, Multilevel Flow Modeling. This paper extends the technique to an automatic FTA execution technique. This paper presents an algorithm of automatic FTA based on MFM models and demonstrates the applicability of the extended technique by the FTA result of a cooling plant of nitric acid.
Fault Tree Analysis Functional Information Multilevel Flow Modeling Chemical Plant
Akio Gofuku Ai Ohara
School of Natural Science and Technology, Okayama University, 3-1-1 Tsushima-Naka, Okayama 700-8530, Department of Systems Engineering, Okayama University, 3-1-1 Tsushima-Naka, Okayama 700-8530, Japan
国际会议
ISSNP2008、CSEPC、ISOFIC2008(第二届21世纪和谐核电系统国际会议、第四届电厂控制中认知系统工程方法国际会议暨第三届未来核电厂仪表与控制国际会议)
哈尔滨
英文
349-355
2008-09-08（万方平台首次上网日期，不代表论文的发表时间）