Abstract
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.
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