NILM Dashboard: Actionable Feedback for Condition-Based Maintenance

被引:8
作者
Green, Daisy [1 ]
Kane, Thomas [2 ,3 ,4 ,5 ]
Kidwell, Stephen [2 ,6 ,7 ]
Lindahl, Peter [8 ,9 ]
Donnal, John [10 ]
Leeb, Steven [11 ,12 ]
机构
[1] MIT, Elect Engn, Res Lab Elect, Cambridge, MA 02139 USA
[2] US Coast Guard, Washington, DC USA
[3] USCGC CAMPBELL, Washington, DC USA
[4] USCGC MELLON, Seattle, WA USA
[5] Natl Secur Cutter NSC fleet, Washington, DC USA
[6] MIT, Naval Architecture & Marine Engn, Cambridge, MA 02139 USA
[7] USCGC HAMILTON WMSL 753, N Charleston, SC USA
[8] Exponent, Watertown, MA USA
[9] MIT, Cambridge, MA 02139 USA
[10] US Naval Acad, Weap & Syst Engn, Annapolis, MD 21402 USA
[11] Massachusetts Inst Technol MIT Fac, Dept Elect Engn & Comp Sci, Cambridge, MA USA
[12] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
关键词
Water heating; Monitoring; Maintenance engineering; Degradation; Reactive power; Heat pumps; FAULT-DETECTION; SIGNAL;
D O I
10.1109/mim.2020.9153467
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Modern power monitoring systems record vast amounts of equipment operational data. For these systems to improve efficiency and performance, the data must be presented as an intuitive decision aid for watchstanders. The Nonintrusive Load Monitor (NILM) dashboard provides actionable information for energy score-keeping, activity tracking, and equipment condition-based maintenance (CBM). Using a NILM to present metrics that track changes in equipment signature and equipment behavior allows for effective CBM. Electrical monitoring through the NILM dashboard can identify both "soft" faults (the gradual degradation of equipment performance) and "hard" faults (the complete failure of a piece of equipment). This paper presents metrics and visualizations that have proven useful for CBM. Analysis from case studies of fault conditions identified aboard two United States Coast Guard cutters (USCGCs), SPENCER and ESCANABA, are discussed.
引用
收藏
页码:3 / 10
页数:8
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