1. A method for filtering and interpreting real-time sensory data from an electrical system, comprising: updating a virtual system model of the electrical system in response to real-time data; generating predicted data output from the electrical system using the updated virtual system model; comparing the real-time data against the predicted data; identifying an alarm condition based on deviations detected during the comparison; and communicating the alarm condition to a display.