DocumentCode :
2108330
Title :
The application of wireless sensor networks for condition monitoring in three-phase induction motors
Author :
Xue, Xin ; Sundararajan, V. ; Brithinee, Wallace P.
Author_Institution :
Univ. of California, Riverside, CA
fYear :
2007
fDate :
22-24 Oct. 2007
Firstpage :
445
Lastpage :
448
Abstract :
The most commonly used technique for the detection of faults in large three-phase induction motors is to measure the supply current fed into the motor and analyze the signal spectrum. This technique is well established and has been shown to be indicative of a faulty condition. However, current signature analysis is usually used by very skilled technicians using expensive equipment. A cost effective condition monitoring technique is needed for smaller motors (those smaller than 200 HP). This paper explores the possibilities of using wireless sensors inside the motor. Wireless sensors are gaining popularity in condition monitoring applications because of their relatively low cost and ease of installation. This paper proposes a system of condition monitoring of the three-phase induction motor using wireless sensor networks (WSN) to measure the temperature and the vibration signals. The sensor nodes are placed on the rotor and the stator. The data acquisition is accomplished at a base station located at a distance of 6 feet. Issues related to electromagnetic interference between the wireless devices and the magnetic fields present within the motor are investigated.
Keywords :
condition monitoring; data acquisition; induction motors; rotors; stators; wireless sensor networks; condition monitoring; current signature analysis; data acquisitions; electromagnetic interference; magnetic fields; rotors; signal spectrum; stators; three-phase induction motors; wireless sensor networks; Condition monitoring; Costs; Current measurement; Current supplies; Fault detection; Induction motors; Magnetic field measurement; Temperature measurement; Vibration measurement; Wireless sensor networks; Three-phase Induction Motor Condition Monitoring; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation Conference and Electrical Manufacturing Expo, 2007
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-0446-9
Electronic_ISBN :
978-1-4244-0447-6
Type :
conf
DOI :
10.1109/EEIC.2007.4562657
Filename :
4562657
Link To Document :
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