Application Study on SOM-BP Neural Network for Blower Fan Fault Diagnosis

被引：0

作者：

Ma, Fengying ^{[1
]}

Wei, Tongfa ^{[1
]}

机构：

[1] Qilu Univ Technol, Sch Elect Engn & Automat, Jinan 250353, Shandong, Peoples R China

来源：

2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年

关键词：

blower fan; BP neural network; self-organization mapping; fault diagnosis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

From the view of information fusion, the SOM-BP network model based on the principal of self-organization network(SOM) and back pressure network(BP) was established. The faults and relative parameters of UCI for Mechanical analysis were used for the training samples of the model. Under the Matlab environment, through the simulation test and comparison with BP network, correctness and accuracy of the composite neural network for blower fan failure diagnosis are verified.

引用

页码：5929 / 5934

页数：6

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