Application Kohonen Neural Network to MOA Fault Diagnosis

Autor:	Yu Fang, Hui Guo, Zheng Wei Chang, Xian Feng Tang
Rok vydání:	2014
Předmět:	Engineering business.industry Pattern recognition General Medicine Artificial intelligence business Fault (power engineering) MATLAB computer computer.programming_language Kohonen neural network
Zdroj:	Applied Mechanics and Materials. :874-878
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.568-570.874
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef8a6c1eddd7cff2a5c99c4e9d0089fd https://doi.org/10.4028/www.scientific.net/amm.568-570.874 Zobrazit plný text záznamu