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Using data from high-resolution wide-area GPS-synchronized measurements to detect and analyze disturbances within a synchronous electrical interconnection is not trivial. Deterministic methods often fall prey to the non-stationary noisy nature of this type of data. This paper dwells on the location of noteworthy events within “blue-sky” ambient data taken from particularly noisy environments. The statistical processing used to detect and analyze power system events is congealed into a concise and tunable algorithm that is applicable to a multitude of data types. The data analyzed herein is drawn from FNET, a wide-area measurement system deployed worldwide at standard end-user distribution voltages.