The fault diagnosis of marine engine cooling system based on artificial neural network (ANN)

Author

Zhou Junfeng ; Xu Leping

Author_Institution

Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China

Volume

2

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

186

Lastpage

189

Abstract

This paper makes a further research on fault diagnosis of marine engine cooling system based on artificial neural network (ANN). Firstly, it introduces the basic principle of ANN. The following section goes to describe the back propagation (BP) algorithm of neural network, basic structure of BP network and learning algorithm in detail. Finally, BP algorithm is used to detect and diagnose faults of marine engine cooling system. The research results are satisfactory and indicate that the network is simple in structure and good in speed of learning and adaptability.

Keywords

backpropagation; cooling; engines; fault diagnosis; mechanical engineering computing; neural nets; ships; artificial neural network; back propagation algorithm; fault diagnosis; learning algorithm; marine engine cooling system; Artificial neural networks; Cooling; Diesel engines; Educational institutions; Error correction; Fault diagnosis; Marine vehicles; Multi-layer neural network; Neural networks; Testing; artificial neural network (ANN); back propagation (BP) algorithm; fault diagnosis; ship engine cooling system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451452

Filename

5451452