An adapted component-connection method for building SBDD encoding a dynamic fault tree

doi:10.1177/1748006X221117929

	An adapted component-connection method for building SBDD encoding a dynamic fault tree
	Guo, Dingqing 2,3; Wang, Jinkai 3; Lin, Jian 3; Zhang, Bing 3; Yong, Nou 1; Xia, Dongqin 1; Ge, Daochuan 1,3
刊名	PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
	2022-08-17
关键词	Component connection dynamic fault tree sequential binary decision diagram Heuristic strategies calculable logic terms
ISSN号	1748-006X
DOI	10.1177/1748006X221117929
通讯作者	Ge, Daochuan(gdch-2008@163.com)
英文摘要	Dynamic fault trees (DFTs) are a commonly used tool to analyze the reliability of systems with sequential failure behaviors. A sum of disjoint product (SDP)-based analysis methods are widely accepted as efficient approaches for a DFT, such as dynamic binary decision trees (DBDTs) and sequential binary decision diagrams (SBDDs). However, for a large DFT, the process of obtaining the structure function is error-prone and very time-consuming. In contrast, SBDD built on the improved ite algorithm does not rely on the structure function but is limited to a DFT whose dynamic gates are located at the bottom. This method requires predefined variable ordering for basic events, which greatly influences the computational efficiency, and the caching operation is a problem. In this paper, an enhanced component-connection-based method is proposed to build SBDD encoding a DFT. New component-connection rules are developed to deal with dependent variables having repeated basic events, and several heuristic connection strategies are also developed to reduce the size of the final calculable terms. The proposed method is straightforward and easily implemented. To demonstrate the applications and merits of our method, several case studies are carried out, and the results show the reasonability and effectiveness.
资助项目	National Natural Science Foundation of China[71901203] ; HFIPS Director's Fund[YZJJ 2022QN38] ; National Key R&D Program of China[2018YFB1900301]
WOS关键词	MONTE-CARLO-SIMULATION ; RELIABILITY-ANALYSIS ; QUANTITATIVE-ANALYSIS ; STOCHASTIC APPROACH ; MARKOV-MODELS ; PETRI NETS ; SYSTEMS ; QUANTIFICATION ; CONVERSION ; PRIORITY
WOS研究方向	Engineering ; Operations Research & Management Science
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000842164600001
资助机构	National Natural Science Foundation of China ; HFIPS Director's Fund ; National Key R&D Program of China
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132065]
专题	中国科学院合肥物质科学研究院
通讯作者	Ge, Daochuan
作者单位	1.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Hefei Inst Phys Sci, 350 Shushanhu Rd, Hefei 230031, Anhui, Peoples R China 2.Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China 3.China Nucl Power Engn Co Ltd, State Key Lab Nucl Power Safety Monitoring Techno, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Guo, Dingqing,Wang, Jinkai,Lin, Jian,et al. An adapted component-connection method for building SBDD encoding a dynamic fault tree[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY,2022.
APA	Guo, Dingqing.,Wang, Jinkai.,Lin, Jian.,Zhang, Bing.,Yong, Nou.,...&Ge, Daochuan.(2022).An adapted component-connection method for building SBDD encoding a dynamic fault tree.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY.
MLA	Guo, Dingqing,et al."An adapted component-connection method for building SBDD encoding a dynamic fault tree".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY (2022).