Abstract: A computer-implemented method for visualizing uncertainty in flow measurements is provided. A non-limiting exemplary method includes reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location. The method plots a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations and calculates an uncertainty boundary line based on the plurality of plotted points. The method filters, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line leaving only remaining plotted points and defines at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points. The method may use the remaining plotted points to provide adaptive setup to tune a response in the fluid flow measurements.

Abstract: A computer-implemented method for visualizing uncertainty in flow measurements is provided. A non-limiting exemplary method includes reading, by a processor, a plurality of fluid flow measurements having a magnitude, a direction, and a location. The method plots a plurality of points on a first polar graph, each point representing the difference in fluid flow measurements between two of the plurality of fluid flow measurements at different locations and calculates an uncertainty boundary line based on the plurality of plotted points. The method filters, by the processor, the plurality of plotted points to remove plotted points outside of the uncertainty boundary line leaving only remaining plotted points and defines at least one cluster of remaining plotted points based on similar behavior of a subset of the remaining plotted points. The method may use the remaining plotted points to provide adaptive setup to tune a response in the fluid flow measurements.