Real-time Monitoring & Diagnostic System of Mechanical & Electrical Equipments Based on Wireless Sensor Network

被引：0

作者：

Fu Changyou ^{[1
]}

机构：

[1] Sichuan Univ Sci & Engn, Sch Comp Sci, Zigong 643000, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2012) | 2012年 / 12卷

关键词：

real-time monitoring; diagnosis; mechanical and electrical equipment; electrical parameters; wireless sensor networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Electrical equipment is currently the most widely used motivation and drive for their increasingly serious, frequent catastrophic accident, proposed and designed a wireless sensor network based on real-time monitoring of equipment and diagnostic system, the electrical parameters of real-time monitoring and fault diagnosis. Elaborated on its system structure, hardware and software design, implementation, real-time online monitoring of the electrical parameters, display, and electrical equipment and two-way data communications management center. Through the monitoring system, greatly reducing the security risks of production, reduce downtime and downtime, lower maintenance costs and improve equipment utilization efficiency, and promote efficient production.

引用

页码：485 / 489

页数：5

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