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Massachusetts Institute of Technology

Distributed Sensors, Data Analysis, and Non-Intrusive Load Monitoring: Foundations for Reliability-Centered Maintenance on Ships

Abstract

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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Skimmons, Jacob Daniel
Advisors dc:contributor.advisor
  • Leeb, Steven B.
  • Saathof, Erik K.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/155894
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/155894

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Skimmons, Jacob Daniel. Distributed Sensors, Data Analysis, and Non-Intrusive Load Monitoring: Foundations for Reliability-Centered Maintenance on Ships. Massachusetts Institute of Technology, 2024. https://hdl.handle.net/1721.1/155894