Fault Diagnosis of Marine Main Engine Based on BP Neural Network

摘要：

The fault diagnosis of a marines main engine is a significant but complicated problem, and artificial intelligence has been considered in this field for decades.This paper describes a fault diagnosis method for main engine based on BP neural network with the system fault classified into hierarchies according to fault tree analysis.Sample data of superchargers fault is collected and used to train and test the BP network.The simulation results illustrate the effectiveness of the proposed approach.

关键词： BP neural network faout diagnosis marine main engine

作者: Huiqing Jiang Suling Jia Guanjun Lai

作者单位: School of Economics and Management Beihang University Beijing,China Department of System Engineering Beihang University Beijing,China

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 822-825

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）