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Case Study - Can automation of diagnostics make a difference?

SymphonyAI Industrial diagnostic software performance put to the test

Three mechanical engineers whose main job responsibility has been to analyze vibration data for the past 2-4 years were each given data on 332 machines to analyze. The data was collected by one of SymphonyAI’s clients and sent to them as part of a routine data submittal. It was not pre-screened to weed out bad data or to provide especially interesting or challenging cases. 23 different machine types were present in the data population representing over 52 unique machine models including centrifugal pumps, blowers, generators, piston pumps, screw pumps, turbines and reduction gears.

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