RESEARCH ON SOFTWARE-INTENSIVE EQUIPMENT SYSTEM FAULT DIAGNOSIS TECHNOLOGY

被引：0

作者：

Feng Jianyuan ^{[1
]}

Feng Quanfu ^{[1
]}

Zhu Xiaodong ^{[1
]}

Xu Renzuo ^{[1
]}

机构：

[1] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China

来源：

2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 3 | 2012年

关键词：

Software-intensive equipment system; fault diagnosis; ISFDM-SBB; ESBB;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

For software-intensive equipment, there is a lack of systematic, standardized software fault diagnostic technology; it affects quality of software-intensive equipment seriously. In this article we proposed a software-based fault diagnosis of integrated software black box model, using UML extension mechanisms, and "4 +1" view model built the framework, in Visual C + +6.0 environment, developed its prototype system. Finally, we gave two validation examples, to prove that our technology approach to be effective.

引用

页码：171 / 177

页数：7

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