Abstract: We propose a method to monitor and analyze correlations between sensors in multiple distinct wind tunnel measurement systems using a novel distance metric within a Gaussian process framework. This method allows us to predict an individual sensor's output by considering the joint output of multiple sensor systems measuring different physical quantities over the course of several experimental trials. We use this method to detect and potentially correct aberrant sensor readings. We illustrate the method using data from four distinct large sensor systems, collected during a three-week experimental campaign in the Virginia Tech Stability Wind Tunnel.
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