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 scorekeeping, activity tracking, and equipment fault detection and diagnostics (FDD). 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 FDD. Analysis is presented from case studies of the NILM dashboard for identifying fault conditions aboard two United States Coast Guard cutters (USCGCs), SPENCER and ESCANABA.