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

Abstract

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.