Integration frameworks and intelligent research in dynamic fault tree: A comprehensive review and future perspectives

Abstract

Abstract Dynamic fault tree (DFT) is designed to conduct risk assessment studies of complex systems. With the development of intelligent and network technology, risk assessment technology faces a leap forward development. The requirements for improving system safety are being recognized. On the one hand, research on DFT is exploring the integration with different methods. On the other hand, DFT method becomes more intelligent. The purpose of this paper is to identify the feasibility and effectiveness of different integration frameworks. To achieve this goal, a suitable review process is proposed. This paper comprehensively reviews and proposes future perspective the research status of intellectualization in DFT, and focuses on the different types of integration framework of DFT, modeling technology and algorithm optimization, and the support of computer‐aided analysis. Theoretical contributions, frameworks features, and the development process of computer intelligent analysis in the scientific and technical literature are carefully reviewed. Finally, the challenges in future research are summarized to promote the development of intelligent evaluation.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 11 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.