{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/123033"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/123033","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Non-intrusive load monitoring for existing water and natural gas metering infrastructure","abstract":"Non-intrusive load monitoring (NILM) involves measuring power transfer or resource flow upstream from several independent loads and disaggregating the information into separate loads, trading hardware installation complexity for advanced signal processing. Non-contact NILM devices avoid direct connections to the grid or network, instead leveraging physical properties of the grid or existing meter to extract load information. This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM.","abstract_html":"Non-intrusive load monitoring (NILM) involves measuring power transfer or resource flow upstream from several independent loads and disaggregating the information into separate loads, trading hardware installation complexity for advanced signal processing. Non-contact NILM devices avoid direct connections to the grid or network, instead leveraging physical properties of the grid or existing meter to extract load information. This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM.","abstract_has_math":false,"creators":["Ponce, Eric(Eric A.)"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","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."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:21:05Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/123033","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Steven B. Leeb."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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This thesis presents an improved model for the rotating magnetic field produced by positive displacement water meters, new methods and non-contact hardware for non-intrusively extracting flow from these and bellows-and-diaphragm natural gas meters, and signal processing techniques for reconstructing flow from measured data to enable cheap and easy retrofit of existing metering infrastructure for NILM."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Non-intrusive load monitoring for existing water and natural gas metering infrastructure"]}]}],"canonical_facts":{"dc:contributor.advisor":["Steven B. Leeb."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","EECS"],"dc:contributor.other":["Massachusetts Institute of Technology. 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