Journal
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume 39, Issue 5, Pages 1639-1659Publisher
WILEY
DOI: 10.1002/qre.3271
Keywords
decision-making; meta-data analysis; reliability; risk assessment; system safety
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Fault tree analysis (FTA) is a popular failure analysis technique that identifies the potential pathways leading to system or component failure. Scholars and practitioners have made efforts to address the shortcomings of conventional FTA over the past decade. This study conducts a systematic literature review from 2011 to 2021 and finds that there is a growing interest in FTA improvement, with Asia, particularly China, being a leading contributor in this area.
Fault tree analysis (FTA) is one of the most popular failure analysis techniques that reveal the potential pathways leading to systems or components failure. It has been widely employed in numerous sectors to understand how a system fails and is improved. However, the conventional FTA has been criticized due to a series of inherent shortcomings in the FTA state of the arts. Accordingly, scholars, engineers, and practitioners made their attempts to improve the FTA by dealing with its critical deficiencies over the last decade. However, a few works have been performed to review and synthesize the relevant studies on FTA improvement topics. Thus, the present study is aimed to carry out a systematic literature review of the state-of-the-art theoretical and empirical findings concerning FTA improvement from 2011 to 2021 using the Scopus database collection. In this sense, an in-depth investigation is conducted using statistical metadata analysis. This subject discusses frontier directions and development trends to reveal the research status. In addition, a bibliometric study is undertaken to ascertain the most productive and influential researchers, research centers, and hotspot fields. It also sheds light on the FTA shortcomings in the existing literature, the evolution in FTA improvement topics, and research opportunities. The outcomes of the present work highlighted that the annual publications on FTA improvement topics are significantly growing, especially after 2019. Besides, Jianxiu Wang, Yan-Feng Li, and Yihuan Wang are the most productive, prolific, and highly cited authors worldwide; and Asia, particularly China, is the leading contributor in the FTA area. According to Bradford's law, one-third of all publications (7995) in the field of FTA improvement have been published by 40 sources. Finally, Decision-making, Risk analysis, Uncertainty Analysis, and Bayesian Networks are the four major hot topics integrated into improving the conventional FTA.
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