Remote Status Monitoring and Fault Diagnosis for Manufacturing System

被引：1

作者：

Zan Tao ^{[1
]}

Wang Min ^{[1
]}

Hu Jianzhong ^{[1
]}

Liu Xiao ^{[2
]}

机构：

[1] Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Sch Mech Engn, Beijing 100124, Peoples R China

[2] Beijing Univ Technol, Dept Sci & Technol, Beijing 100124, Peoples R China

来源：

ADVANCES IN PRECISION INSTRUMENTATION AND MEASUREMENT | 2012年 / 103卷

关键词：

manufacturing system; remote monitoring; fault diagnosis; information fusion; MAINTENANCE;

D O I：

10.4028/www.scientific.net/AMM.103.229

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper introduces a novel approach for mechanical manufacturing system to implement status monitoring and fault diagnosis. The embedded hardware and software framework for terminal device is discussed to ensure high performance, high reliability, high expansibility, low power and small volume. According to the demand of remote status monitoring, the strategy of data transmission and information sharing is applied to provide the analyzing and diagnosing service based on intranet/internet. The artificial intelligent technique is used for information fusion and fault diagnosis of manufacturing system. The proposed approach shows great potential for improving overall production efficiency, while reducing the cost of maintenance.

引用

页码：229 / +

页数：2

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