中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An adapted component-connection method for building SBDD encoding a dynamic fault tree

文献类型:期刊论文

作者Guo, Dingqing2,3; Wang, Jinkai3; Lin, Jian3; Zhang, Bing3; Yong, Nou1; Xia, Dongqin1; Ge, Daochuan1,3
刊名PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
出版日期2022-08-17
关键词Component connection dynamic fault tree sequential binary decision diagram Heuristic strategies calculable logic terms
ISSN号1748-006X
DOI10.1177/1748006X221117929
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.
WOS关键词MONTE-CARLO-SIMULATION ; RELIABILITY-ANALYSIS ; QUANTITATIVE-ANALYSIS ; STOCHASTIC APPROACH ; MARKOV-MODELS ; PETRI NETS ; SYSTEMS ; QUANTIFICATION ; CONVERSION ; PRIORITY
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研究方向Engineering ; Operations Research & Management Science
语种英语
WOS记录号WOS:000842164600001
出版者SAGE PUBLICATIONS LTD
资助机构National Natural Science Foundation of China ; HFIPS Director's Fund ; National Key R&D Program of China
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).

入库方式: OAI收割

来源:合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。