dc.contributor.advisor | Steven B. Leeb, John S. Donnal, and Peter Lindahl. | en_US |
dc.contributor.author | Green, Daisy Hikari | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2018-09-17T14:51:01Z | |
dc.date.available | 2018-09-17T14:51:01Z | |
dc.date.copyright | 2018 | en_US |
dc.date.issued | 2018 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/117820 | |
dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. | en_US |
dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 241-246). | en_US |
dc.description.abstract | A Non-Intrusive Load Monitor (NILM) measures power at a central point in an electrical network in order to provide real-time energy management and equipment diagnostics. Results are presented from NILM systems installed aboard two US Coast Guard ships. The collected data is used for fault diagnostics and condition-based monitoring of mission-critical systems. A NILM system requires a complex software pipeline that captures and preprocesses data, accurately disaggregates load events from the aggregate power stream, analyzes the equipment for potential faults, and presents useful information to end-users in real-time. This thesis presents a framework for load identification, as well as an analytical and graphical platform that provides diagnostic information to operators in real-time about the health of electromechanical systems. | en_US |
dc.description.statementofresponsibility | by Daisy Hikari Green. | en_US |
dc.format.extent | 246 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 | Framework of non-intrusive load monitoring for shipboard environments | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 1051460690 | en_US |