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dc.contributor.advisorSteven B. Leeb, John Cooley and James Paris.en_US
dc.contributor.authorClifford, Zachary Alanen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-02-23T15:03:18Z
dc.date.available2011-02-23T15:03:18Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61313
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 327-328).en_US
dc.description.abstractNon-Intrusive Load Monitoring (NILM) is a method for characterizing and monitoring discrete loads connected to a power distribution system. This can include a ship, a car, or a utility distribution system. The entire concept is predicated on having access to digital samples of the current and voltage signals at the distribution point. This thesis presents a analog to digital converter for this task and a new low-power inductive current sensor for deployment in a standard circuit breaker box. The current sensor uses discrete JFET devices to passively transmit data inductively through the steel door of the circuit breaker.en_US
dc.description.statementofresponsibilityby Zachary Alan Clifford.en_US
dc.format.extent328 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleAn analog and digital data acquisition system for Non-Intrusive Load Monitoringen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc702680855en_US


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