Research on fault diagnosis method based on Temporal Bayesian Network

被引：0

作者：

Song, Yulong ^{[1
]}

Hu, Weiwei ^{[1
]}

机构：

[1] Beihang Univ, Sch Reliabil & Syst Engn, 37 Coll Rd, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017) | 2017年 / 141卷

关键词：

Temporal Bayesian Networks; time window; fault diagnosis; fault retrieval sequences; SYSTEMS;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper is based on the traditional network of bayesian, introducing the concept of the time window, to construct the Temporal Bayesian Network (TBN) model. In addition, optimizing TBN model reasoning algorithm to process system data which has the temporal haracteristic. Then we can obtain the posterior probability of each node in the TBN and use importance ranking method to determine the fault retrieval sequence, optimize of fault diagnosis process. Combined with the state power line fault diagnosis example to verify the correctness of this method.

引用

页码：675 / 680

页数：6

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