The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring

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.

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

2019

Author dc:creator

• Kane, Thomas John,S.M.Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Steven B. Leeb and Daisy H. Green.

• Mechanical Engineering.

Statement 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122320

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122320