The ability to sense electrical quantities without the need for direct galvanic contact enables several exciting application in the area of pervasive energy monitoring and power systems diagnostics. Proximity-based monitoring uses spatially-distributed magnetic and electric field sensors to record the magnetic and electric field emanating from the electric circuit that is being monitored. This data, together with often limited information about the circuit topology, allows us to reconstruct the currents and voltages associated with the various components of the monitored circuitry. sensing of electric circuits, while presenting the challenges and benefits of this method compared with traditional approaches. I will present two concrete applications of proximity-based monitoring: wireless stick-on current sensors for the sub-metering of residential and commercial buildings and on-line fault detection of underground power distribution cables.
Dr. Igor Paprotny is a Research Scientists at the Center for Information Technology Research in the Interest of Society (CITRIS), Berkeley Sensor & Actuator Center (BSAC), and the i4 Energy Center at UC Berkeley, where he is involved in applying MEMS technologies to develop distributed microsensors for electric power system sensing, air-microfluidics for environmental monitoring, and microrobotics. He received his Ph.D. in Computer Science from Dartmouth College while part-time in-residence at Duke University. He holds an Engineering Diploma in Mechatronics from the NKI College of Engineering in Oslo, Norway, as well as BS and MS degrees in Industrial Engineering from Arizona State University in Tempe, Arizona. He has over 3 years of professional experience in the semiconductor industry where he was involved in designing automated material handling systems for semiconductor factories.
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