Study on SOM Neural Network Applied to the Fault Diagnosis of Hoist Brake System

被引：0
|
作者：
Lei, Yong-Tao [1 ]
机构：
[1] Guangdong Jidian Polytech, Coll Mech Engn, Guangzhou 510515, Guangdong, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND AUTOMATION (ICCEA 2014) | 2014年
关键词：
Brake System; Fault Tree; Fault Samples; SOM; Fault Diagnosis and Prediction;
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：
Combining with experience and knowledge of experts in the field and based on a fault tree of hoist brake system, the fault samples were collected and designed, and 7 kinds of brake system failure modes were classified with SOM network, the first level of diagnosis was successfully achieved. Neural network test results show that the network structure, the input and output meet the requirements of fault diagnosis and prediction.
引用
收藏
页码：165 / 168
页数：4
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