Title :
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
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;
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
DOI :
10.1109/ICCAE.2010.5451452