Application Kohonen Neural Network to MOA Fault Diagnosis-Reference-Cited by-同舟云学术

Application Kohonen Neural Network to MOA Fault Diagnosis

Published:2014-06 Issue: Volume:568-570 Page:874-878
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Guo Hui¹,Tang Xian Feng²,Chang Zheng Wei³,Fang Yu³

Affiliation:

1. Sichuan University of Science and Engineering

2. Zigong Department of Operation and Maintenance in Maintenance Branch of Sichuan Electric Power Corporation

3. Sichuan Electric Power Research Institute

Abstract

The paper proposes a Kohonen neural network to the MOA fault diagnosis. The data from MOA monitoring was trained by a Kohonen neural network in Matlab. By this way, the best weight matrix could be obtained. The trained Kohonen neural network is adopted to diagnose the sample, and the MOA fault type could be effectively identified.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.568-570.874.pdf

Reference5 articles.

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