Dynamic Safety Analysis in CNG Stations Using a Hybrid Fault Tree Approach and Bayesian Network Techniques

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ESKANDARI TAHEREH; MIRZAEI ALIABADI MOSTAFA; MOHAMMADFAM IRAJ

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Journal: Journal of Health and Safety at Work Year:2020 | Volume:9 | Issue:4 Page(s): 250-260

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Title

Dynamic Safety Analysis in CNG Stations Using a Hybrid Fault Tree Approach and Bayesian Network Techniques

Author(s)

ESKANDARI TAHEREH | MIRZAEI ALIABADI MOSTAFA | MOHAMMADFAM IRAJ | Issue Writer Certificate

Keywords

Dynamic SafetyQ1

Bayesian NetworkQ1

Fault Tree AnalysisQ1

FMEAQ1

Abstract

Introduction: The safety of CNG stations is important because of their location in urban areas, as well as to prevent accidents and to protect the safety of personnel, property, and environment. An event occurrence analysis with probability updating is the key to Dynamic Safety analysis. Material and Methods: In this study, the Failure Modes and Effects Analysis (FMEA) technique was used to determine the hazards of the study unit, the method of analyzing. After determining the hazards with high risk, the Bayesian Fault Tree Analysis (BFTA) method was used to determine the effective causes of events occurrence and the type of possible relationships among them. Results: First, the phase of hazards identification, 16 Hazardous equipment were identified. Then the Risk Priority Number for the identified equipment was calculated. The results showed that the dispenser system had the highest risk priority number and was identified as the most critical equipment. According to this, the dispenser gas leakage (as the top event) was selected in this study. Then, the analysis of the dispenser gas leakage, using BFTA method identified 56 main causes, including 17 intermediate events and 39 basic events. Finally, cracking and corrosion of the dispenser hose were determined the most effective factor in the occurrence of the top event. The probability of occurrence of the top event based on FTA and BFTA analysis was calculated 9. 67×10-2 and 9. 11 × 10-2, respectively. Conclusion: The result of the study that by employing the Bayesian Network, can create a useful guideline to determine the relationship between the occurrence causes of the top event. This provides an assessment of the effectiveness of preventive measures before using them.

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APA: Copy

ESKANDARI, TAHEREH, MIRZAEI ALIABADI, MOSTAFA, & MOHAMMADFAM, IRAJ. (2020). Dynamic Safety Analysis in CNG Stations Using a Hybrid Fault Tree Approach and Bayesian Network Techniques. JOURNAL OF HEALTH AND SAFETY AT WORK, 9(4), 250-260. SID. https://sid.ir/paper/364692/en

Vancouver: Copy

ESKANDARI TAHEREH, MIRZAEI ALIABADI MOSTAFA, MOHAMMADFAM IRAJ. Dynamic Safety Analysis in CNG Stations Using a Hybrid Fault Tree Approach and Bayesian Network Techniques. JOURNAL OF HEALTH AND SAFETY AT WORK[Internet]. 2020;9(4):250-260. Available from: https://sid.ir/paper/364692/en

IEEE: Copy

TAHEREH ESKANDARI, MOSTAFA MIRZAEI ALIABADI, and IRAJ MOHAMMADFAM, “Dynamic Safety Analysis in CNG Stations Using a Hybrid Fault Tree Approach and Bayesian Network Techniques,” JOURNAL OF HEALTH AND SAFETY AT WORK, vol. 9, no. 4, pp. 250–260, 2020, [Online]. Available: https://sid.ir/paper/364692/en

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