The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring
Author(s)
Kane, Thomas John,S.M.Massachusetts Institute of Technology.
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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
Other Contributors
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Advisor
Steven B. Leeb and Daisy H. Green.
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Metadata
Show full item recordAbstract
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).
Date issued
2019Department
Massachusetts Institute of Technology. Department of Mechanical EngineeringPublisher
Massachusetts Institute of Technology
Keywords
Mechanical Engineering.