Design of intelligent fault diagnosis system based on naval vessel's cooling system of diesel engine

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 realized by Visual Basic loading Dynamic Link Li...

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Vydáno v:2010 8th World Congress on Intelligent Control and Automation s. 5708 - 5711
Hlavní autoři: Zhou Xianglong, Gao Feng, Zhao Jingbo
Médium: Konferenční příspěvek
Jazyk:čínština
angličtina
Vydáno: IEEE 01.07.2010
Témata:
Artificial intelligence
Artificial neural networks
cooling system of diesel engine
Diesel engines
Fault diagnosis
Heuristic algorithms
improved Back Propagation algorithm
intelligent fault diagnosis
Libraries
Visual BASIC
Visual Basic &C++ mixed programming
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Shrnutí: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 realized 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.
DOI:10.1109/WCICA.2010.5554776