文献类型：期刊文献

英文题名：Structural health analysis on cyber physical system based on reliability

作者：Wang, Ti[1];Shao, Fangming[1];Zhu, Kunping[1]

机构：[1]East China Univ Sci & Technol, Shanghai, Peoples R China

年份：2021

卷号：77

期号：1

起止页码：445

外文期刊名：JOURNAL OF SUPERCOMPUTING

收录：;EI(收录号：20201808609572);WOS:【SCI-EXPANDED(收录号:WOS:000527495100001)】；

基金：The authors gratefully acknowledge the financial supports of Natural Science Foundation of China under Grant No. 61040040.

语种：英文

外文关键词：Cyber physical system; Reliability; Survivability; Monte Carlo algorithm

摘要：Cyber physical system (CPS) is consisting of two interdependent networks, i.e., a cyber network embedding into a physical network. Although interdependence makes the system more intelligent, it increases the vulnerability and complexity of the system in the presence of failures and even leads to cascading failures, which may cause the entire system to completely fragment. In this paper, we consider the health status of CPS, and propose (m, k)-survivability and (m, k)-health to evaluate the probability and the expectation that at least k nodes still operate in steady state with the maximum entropy as m nodes are attacked. And both reflect the capability of system to resist the failures. Further, we proved that the health of system decreases with the increase of m or k. Due to the complexity of calculating (m, k)-health parameter, we propose a Monte Carlo algorithm and illustrate an unbiased and uniform estimation of the exact value. The simulation shows that the proposed two parameters describe the health of the system well and the proposed algorithm is efficient and effective.