Fault Diagnosis of Marine Diesel Engines Based on SOM Neural Network

Qiang Song; Ai Min Wang

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Fault Diagnosis of Marine Diesel Engines Based on...

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.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

809-813

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.809

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Online since:

March 2011

Authors:

Qiang Song, Ai Min Wang

Keywords:

Fault Diagnosis, Marine Diesel Engine, SOM Neural Network

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