The Reliability Calculation Method of Bayesian Network Timing Simulation by Fusing Importance Sample

被引：0

作者：

Guo Qian-qian ^{[1
]}

Wang Qin ^{[2
]}

Wen Peng ^{[1
]}

Huo Li-min ^{[1
]}

Chen Li ^{[1
]}

Xing Ya-zhou ^{[1
]}

Liu Wei-na ^{[1
]}

机构：

[1] Agr Univ Hebei, Dept Mech & Elect Engn, Baoding 071001, Hebei, Peoples R China

[2] CATV Integrated Information Network Co Ltd, Baoding 071051, Peoples R China

来源：

INTERNATIONAL CONFERENCE OF CHINA COMMUNICATION (ICCC2010) | 2010年

关键词：

Monte-Carlo simulation; Bayesian network inference algorithm for time-sequence simulation; convergence; reliability assessment; Importance Sampling; SYSTEM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the comparison and analysis of methods to reduce the variances in Monte-Carlo simulation, this paper has given a concrete method suitable for Bayesian network inference algorithm for time-sequence simulation to reduce variances. The new method uses Importance Sampling to decrease significantly simulation times and computation time and enhance the convergence and practicality of Bayesian network inference algorithm for time-sequence simulation. Test results from IEEE RTS test system have shown that this new method is effective and feasible.

引用

页码：4 / +

页数：2

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