Design of Intelligent Fault Diagnosis System Based on Naval Vessel's Cooling System of Diesel Engine

被引：0

作者：

Zhou Xianglong ^{[1
]}

Gao Feng ^{[1
]}

Zhao Jingbo ^{[2
]}

机构：

[1] Naval Submarine Acad, Qingdao, Shandong, Peoples R China

[2] Qingdao Technol Univ, Qingdao, Shandong Prov, Peoples R China

来源：

2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年

关键词：

cooling system of diesel engine; intelligent fault diagnosis; mproved Back Propagation algorithm; Visual Basic &C plus plus mixed programming;

D O I：

10.1109/WCICA.2010.5554776

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aimed at the defect of low veracity and inefficient tradition fault diagnosis, an intelligent fault diagnosis system of a naval vessel's cooling system for diesel engine is designed. Based on improved Back Propagation neural network algorithm and realilzed by Visual Basic loading Dynamic Link Library which by C++. Application results show that it has the more strong ability of self learning and self adaptation.

引用

页码：5708 / 5711

页数：4