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Birnbaum Importance Measure of Network Based on C-Spectrum Under Saturated Poisson Distribution
Du, Y. J.1,2; Si, S. B.2; Gao, H. Y.2; Cai, Z. Q.2
2017
关键词Birnbaum importance measure C-spectrum network saturated Poisson distribution
页码934-938
英文摘要Importance measures usually provide numerical indicator to decide which component is more important for network reliability improvement or more critical for network failure. The concept of C-spectrum is a useful tool to implement the importance measures for network, which solely depends on network structure. In this paper, we analyze a network that consists of n components (edges). Under the condition that the distribution of the number of failed edges is given, the properties of traditional Birnbaum importance measure (BIM) are generalized and investigated. First, we derive a formula for BIM based on C-spectrum and establish a sufficient and necessary condition for comparing two edges according to their BIMs. Secondly, under the special case where the number of failed edges follows a saturated Poisson distribution with intensity., for enough small. the BIM ranking is structural ranking, i.e., depending solely on the network structure through the C-spectrum. Finally, an example is presented to explain how we can rank edges according to their BIMs.
会议录2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目111 Project[B13044]
WOS研究方向Engineering ; Operations Research & Management Science
WOS记录号WOS:000428267800191
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36300]  
专题兰州理工大学
通讯作者Du, Y. J.
作者单位1.Lanzhou Univ Technol, Sch Sci, Lanzhou, Gansu, Peoples R China
2.Northwestern Polytech Univ, Sch Mech Engn, Xian, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Du, Y. J.,Si, S. B.,Gao, H. Y.,et al. Birnbaum Importance Measure of Network Based on C-Spectrum Under Saturated Poisson Distribution[C]. 见:.
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