Title :
In-service motor monitoring and energy management system based on wireless sensor networks
Author_Institution :
Key Lab. of Ind. Inf., CAS, Shenyang
Abstract :
This paper presents an in-service motor monitoring and energy management system. The system is mainly composed of a central supervisory station (CSS) connected by wireless sensor networks (WSN) with DSP devices to sample and process the motor current signals. The motor current signature analysis (MCSA) and spectrum estimation methods are used to estimate the speed, air-torque and efficiency of in-service motors. The motor efficiency performance is evaluated with 6 kinds of line charts. The implementation of the proposed system would help improve motor-driven systems to realize energy saving, economic benefits, and reduce environmental impacts.
Keywords :
energy management systems; induction motors; monitoring; wireless sensor networks; DSP devices; central supervisory station; energy management system; inservice motor monitoring; motor current signals; motor current signature analysis; spectrum estimation methods; wireless sensor networks; Computerized monitoring; Copper; Costs; Energy management; Optical wavelength conversion; Prototypes; Robustness; Sensor systems; Signal processing; Wireless sensor networks;
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
