Fault Diagnosis of Marine Main Engine Based on BP Neural Network

被引：0
|
作者：
Jiang, Huiqing [1 ]
Jia, Suling [1 ]
Lai, Guanjun [2 ]
机构：
[1] Beihang Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Beihang Univ, Dept Syst Engn, Beijing 100191, Peoples R China
来源：
PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT | 2009年
关键词：
BP neural network; fault diagnosis; marine main engine;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
The fault diagnosis of a marine's 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 supercharger's fault is collected and used to train and test the BP network. The simulation results illustrate the effectiveness of the proposed approach.
引用
收藏
页码：822 / +
页数：2
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