Study on Diagnosis of Engineering Mechanical Fault Based on Internet of Things

被引：0
|
作者：
Yang Zhibo [1 ]
Liu Kaifei [1 ]
机构：
[1] Henan Polytech Univ, Jiaozuo 454000, Peoples R China
来源：
ADVANCES IN MATERIALS MANUFACTURING SCIENCE AND TECHNOLOGY XV | 2014年 / 770卷
关键词：
Internet of Things; engineering machinery; fault diagnosis;
D O I：
10.4028/www.scientific.net/MSF.770.366
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the status of diagnosis of engineering mechanical fault, the service platform was set up. It could detect the condition of engineering mechanical equipment at any time by the communication technology ZigBee and GPRS and analyses the development tendency of equipment in order to diagnose the fault of engineering mechanical equipment and sustain it.
引用
收藏
页码：366 / 369
页数：4
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