Wireless sensor network for performance monitoring of electrical machine

Author(s):  
Suratsavadee Koonlaboon Korkua ◽  
Wei-Jen Lee
Author(s):  
Priyanka Ranaware ◽  
N.D. Dhoot

<p class="Default">This paper proposes a novel industrial wireless sensor network for industrial machine condition monitoring. To avoid unexpected equipment failures and obtain higher accuracy in diagnostic and prognostic for the health condition of a motor, efficient and comprehensive data collecting, monitoring, and control play an important role to improve the system more reliable and effective. A novel wireless data collection for health monitoring system of electric machine based on wireless sensor network is proposed and developed in this paper. The unique characteristics of ZigBee networks such as low power, low cost, and high flexibility make them ideal for this application. The proposed system consists of wireless sensor nodes which are organized into a monitoring network by ZigBee protocols. A base station and wireless nodes have been developed to form a prototype system. Various sensors have the capability to monitor physiological as well as environmental conditions. Therefore proposed system provides a flexible solution that makes our living spaces more intelligent.</p>


Sensors ◽  
2014 ◽  
Vol 14 (8) ◽  
pp. 15573-15592 ◽  
Author(s):  
Sadik Gharghan ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail

Author(s):  
Sukhairi Sudin ◽  
Ali Yeon Md Shakaff ◽  
Fezri Aziz ◽  
Fathinul Syahir Ahmad Saad ◽  
Ammar Zakaria ◽  
...  

Author(s):  
Nazar Elfadil ◽  
Yaqoob J. Al-Raisi

The success of Wireless Sensor Network application monitoring relies on the accuracy and reliability of its nodes operation. Unfortunately, operation deviations of these nodes appear as regular occurrences not isolated events as in traditional networks. This is due to their special characteristics that reduce network manufacturing and deployment costs and maintain the nodes immunity against internal and external conditions. The goal of this chapter is to propose a real-time, distributed, passive, and low resources usage performance-monitoring algorithm that monitors Wireless Sensor Network functionality and isolates the detected deviated nodes from norm operation. Simulation and empirical experiments showed that the proposed algorithm has a slight processing and storage overhead. It is important to mention that these experiments showed that the proposed algorithm has a high reliability in tracking and isolating network nodes problems.


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