| dc.contributor.advisor | Steven B. Leeb and Daisy H. Green. | en_US |
| dc.contributor.author | Kane, Thomas John,S.M.Massachusetts Institute of Technology. | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Mechanical Engineering. | en_US |
| dc.date.accessioned | 2019-09-26T19:53:39Z | |
| dc.date.available | 2019-09-26T19:53:39Z | |
| dc.date.copyright | 2019 | en_US |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/122320 | |
| dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 | en_US |
| dc.description | Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 119-122). | en_US |
| dc.description.abstract | Non-intrusive Load Monitoring (NILM) measures power at a central point in an electrical network and disaggregates individual load schedules from the overall power stream. This thesis presents the NILM Dashboard, a data-analysis and user interface tool that provides real-time machinery monitoring and fault diagnostics using NILM data. The Dashboard was developed and deployed for use onboard US Coast Guard Cutters to act as an automatic watchstander and condition-based maintenance aid. The effectiveness of the system is demonstrated on power data collected from electrical panels in the ship's engine room. Case studies are used to evaluate the Dashboard's ability to detect fault conditions in electromechanical systems. | en_US |
| dc.description.statementofresponsibility | by Thomas John Kane. | en_US |
| dc.format.extent | 122 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 | Mechanical Engineering. | en_US |
| dc.title | The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring | en_US |
| dc.title.alternative | Non-intrusive Load Monitoring Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring | en_US |
| dc.title.alternative | Watchstanding and real-time fault detection using Non-intrusive Load Monitoring | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | S.M. | en_US |
| dc.description.degree | S.M. in Naval Architecture and Marine Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
| dc.identifier.oclc | 1119389816 | en_US |
| dc.description.collection | S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering | en_US |
| dc.description.collection | S.M.inNavalArchitectureandMarineEngineering Massachusetts Institute of Technology, Department of Mechanical Engineering | en_US |
| dspace.imported | 2019-09-26T19:53:36Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | MechE | en_US |
