The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring
Name
1119389816-MIT.pdf
Size
26.21 MB
Format
Adobe PDF
Checksum (MD5)
0ea2d5efde88f472a5fa3cc79de48f31
Author(s)
Kane, Thomas John,S.M.Massachusetts Institute of Technology.
Advisor(s)
Steven B. Leeb and Daisy H. Green.
Alternative Title
Non-intrusive Load Monitoring Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring
Watchstanding and real-time fault detection using Non-intrusive Load Monitoring
Date Issued
2019
Publisher
Massachusetts Institute of Technology
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.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 119-122).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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.
Persistent DSpace Link
