| dc.contributor.advisor | Leeb, Steven B. | |
| dc.contributor.advisor | Saathof, Erik K. | |
| dc.contributor.author | Skimmons, Jacob Daniel | |
| dc.date.accessioned | 2024-08-01T19:05:44Z | |
| dc.date.available | 2024-08-01T19:05:44Z | |
| dc.date.issued | 2024-05 | |
| dc.date.submitted | 2024-06-13T16:49:03.475Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/155894 | |
| dc.description.abstract | Advances in computing and sensing technology have brought powerful new tools within reach of shipboard engineers. With the right setup, operators can leverage statistics and digital signal processing tools to gain physical insight previously obscured by the sheer amount of work and specialized knowledge it once took to do the same. This thesis explores several applications of non-intrusive load monitoring (NILM) tools aboard a U.S. Coast Guard Fast-Response Cutter (FRC) patrol boat, novel analysis methods of the corrosion protection systems on the FRC, and practical ways of making smart data approachable. Once implemented, these methods will reduce the effort needed to safely operate a modern, high-tech ship by giving operators greater insight into how their systems perform in real-time. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Distributed Sensors, Data Analysis, and Non-Intrusive Load Monitoring: Foundations for Reliability-Centered Maintenance on Ships | |
| dc.type | Thesis | |
| dc.description.degree | S.M. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Science in Naval Architecture and Marine Engineering | |
