{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/119597"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/119597","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Innovations in non-intrusive load monitoring","abstract":"A non-intrusive load monitor (NILM) measures power at a central point in an electrical system to monitor the operation of many connected loads. Non-contact power meters sense the electromagnetic fields surrounding a cable and reconstruct the currents in each conductor. This thesis presents a novel calibration method for determining the relationship between fields and currents for a new meter by using an existing meter elsewhere within the distribution network. A complex software pipeline captures, processes, and stores NILM data. Analysis tools are often not directly available to operators of mission-critical systems. An analytical and graphical platform is developed that provides diagnostic and prognostic information about equipment in real time to maintainers of electromechanical systems.","abstract_html":"A non-intrusive load monitor (NILM) measures power at a central point in an electrical system to monitor the operation of many connected loads. Non-contact power meters sense the electromagnetic fields surrounding a cable and reconstruct the currents in each conductor. This thesis presents a novel calibration method for determining the relationship between fields and currents for a new meter by using an existing meter elsewhere within the distribution network. A complex software pipeline captures, processes, and stores NILM data. Analysis tools are often not directly available to operators of mission-critical systems. An analytical and graphical platform is developed that provides diagnostic and prognostic information about equipment in real time to maintainers of electromechanical systems.","abstract_has_math":false,"creators":["Aboulian, Andre"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Steven B. Leeb and John S. Donnal."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-22T22:22:16Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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