NILM Dashboard: A Power System Monitor for Electromechanical Equipment Diagnostics
Name
NILM_Dashboard_preprint.pdf
Description
Accepted version
Size
16.84 MB
Format
Adobe PDF
Checksum (MD5)
9608404447dacec772ddd9be2ee3d2e5
Author(s)
Aboulian, Andre
Green, Daisy H
Switzer, Jennifer F
Kane, Thomas J
Bredariol, Gregory V
Lindahl, Peter
Donnal, John S
Leeb, Steven B
Date Issued
2019
Journal
IEEE Transactions on Industrial Informatics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Version
Author's final manuscript
Abstract
© 2005-2012 IEEE. Nonintrusive load monitoring (NILM) uses electrical measurements taken at a centralized point in a network to monitor many loads downstream. This paper introduces NILM dashboard, a machine intelligence, and graphical platform that uses NILM data for real-time electromechanical system diagnostics. The operation of individual loads is disaggregated using signal processing and presented as time-based load activity and statistical indicators. The software allows multiple NILM devices to be networked together to provide information about loads residing on different electrical branches at the same time. A graphical user interface provides analysis tools for energy scorekeeping, detecting fault conditions, and determining operating state. The NILM dashboard is demonstrated on the power system data from two United States Coast Guard cutters.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TII.2018.2843770
