Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping

Kai Pan, Hui Liu (), Xiaoqing Gou, Rui Huang, Dong Ye, Haining Wang, Adam Glowacz and Jie Kong
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Kai Pan: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Hui Liu: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Xiaoqing Gou: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Rui Huang: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Dong Ye: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Haining Wang: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Adam Glowacz: Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, 30-059 Kraków, Poland
Jie Kong: College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China

Sustainability, 2022, vol. 14, issue 18, 1-28

Abstract: Fault tree analysis (FTA) is one of the important analysis methods of safety system engineering commonly utilized in various industries to evaluate and improve the reliability and safety of complex systems. To grasp the current situation and development trend of FTA research and to further point out FTA’s future development directions, 1469 FTA-related articles from the literature were retrieved from the SCIE and SSCI databases. Informetric methods, including co-authorship analysis, co-citation analysis and co-occurrence analysis, were adopted for analyzing the cooperation relationship, research knowledge base, research hotspots and frontier in the FTA research field. The results show that China has the highest number of publications, and the Loughborough University of England has the highest number of publications of relevant institutions. Dynamic fault tree analysis, fuzzy fault tree analysis and FTA based on binary decision diagrams are recognized as the knowledge bases in FTA studies. “Reliability Engineering and System Safety”, “Safety Science” and “Fuzzy Sets and Systems” are the core journals in this field. Fuzzy fault tree analysis, dynamic fault tree analysis based on Bayesian networks and FTA combined with management factors may be both the main research hotspots and the frontiers. Then, by deriving the above results, this study can help scholars better master the current research status and frontiers of FTA to improve system reliability and safety.

Keywords: fault tree analysis; reliability; safety; knowledge mapping domain; informetric (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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