Fault Diagnosis System of Emulsifier Based on Neural Network Theory

被引：0

作者：

Wang, Yuesheng ^{[1
]}

Yang, Rong ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Inst Automat, Hangzhou, Zhejiang, Peoples R China

来源：

2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年

关键词：

Emulsifier; Fault Diagnosis; Neural Network Theory;

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：

Emulsifier fault diagnosis system plays an important role to guarantee the safety of emulsion explosive production. In this paper, the preliminary design of the emulsifier fault diagnosis system for emulsion explosive production line has been completed It is based on data driven approach, combined with the existing equipment and safety monitoring.

引用

页码：3087 / 3091

页数：5

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