Software Fault Diagnosis Model of AUV Based on Bayesian Networks and Its Simplified Method

被引：0

作者：

Shi, Chang-ting ^{[1
]}

Zhang, Ru-bo ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Peoples R China

来源：

2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011) | 2011年

关键词：

Autonomous Underwater Vehicle (AUV); Bayesian Networks; Software system; Fault diagnosis; Simplified method;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the uncertainty broadly existed in fault diagnosis of AUV software system, this paper presents a Bayesian Networks diagnosis model with three layers based on CME. On the basis of that, the paper also presents a cutting irrelative node method based on task context according to AUV's specific nature, this method predigests network, reduces the complexity of consequence calculation, and enhances the ability of real-time fault diagnosis effectively.

引用

页码：97 / 101

页数：5