In-Service Motor Monitoring and Energy Management System Based on Wireless Sensor Networks

This paper presents an in-service motor monitoring and energy management system. The system is mainly composed of 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 Mods 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.