Fault Diagnosis of Marine Diesel Engines Based on SOM Neural Network

Abstract:

Article Preview

SOM neural network is a fully connected array of neurons composed of non-teachers and self-learning network, which has a strong nonlinear mapping ability and flexible network structure and a high degree of fault tolerance and robustness. This paper introduces the structure of SOM neural network and learning algorithm and presents an instance of marine diesel engines in MATLAB environment. The diagnosis of marine diesel engine showed that the model can reduce the cost of diagnosis and increase the efficiency of diagnosis. There will be well application prospect in practice.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

809-813

DOI:

10.4028/www.scientific.net/AMR.219-220.809

Citation:

Q. Song and A. M. Wang, "Fault Diagnosis of Marine Diesel Engines Based on SOM Neural Network", Advanced Materials Research, Vols. 219-220, pp. 809-813, 2011

Online since:

March 2011

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Price:

$35.00

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