| dc.contributor.advisor | Steven B. Leeb and John S. Donnal. | en_US |
| dc.contributor.author | Aboulian, Andre | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-12-11T21:07:53Z | |
| dc.date.available | 2018-12-11T21:07:53Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/119597 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 94-99). | en_US |
| dc.description.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. | en_US |
| dc.description.statementofresponsibility | by Andre Aboulian. | en_US |
| dc.format.extent | 290 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Innovations in non-intrusive load monitoring | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1076272162 | en_US |
