FIG. 19 is a flow chart illustrating an example process for conducting a real-time power capacity assessment of an electrical power distribution and transmission system, in accordance with one embodiment.
FIG. 20 is a flow chart illustrating an example process for performing real-time harmonics analysis of an electrical power distribution and transmission system, in accordance with one embodiment.
FIG. 21 is a diagram illustrating how the HTM Pattern Recognition and Machine Learning Engine works in conjunction with the other elements of the analytics system to make predictions about the operational aspects of a monitored system, in accordance with one embodiment.
FIG. 22 is an illustration of the various cognitive layers that comprise the neocortical catalyst process used by the HTM Pattern Recognition and Machine Learning Engine to analyze and make predictions about the operational aspects of a monitored system, in accordance with one embodiment.
FIG. 23 is an example process for real-time three-dimensional (3D) visualization of the health, reliability, and performance of an electrical system, in accordance with one embodiment.
FIG. 24 is a diagram illustrating how the 3D Visualization Engine works in conjunction with the other elements of the analytics system to provide 3D visualization of the health, reliability, and performance of an electrical system, in accordance with one embodiment.
