Paper Title:
Fault Diagnosis of Marine Diesel Engines Based on SOM Neural Network
  Abstract

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, 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
$32.00
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