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Finger Printing: What is it?

Fingerprinting is a pattern recognition technique that when enabled with CogniSim can allow mechanical behavior to be measured and compared against a baseline fingerprint. Examples where fingerprinting could be beneficial include, detection of abnormal behavior before catastrophic failure, or the sensing of paper texture surface quality, or any other distinguishable vibrational characteristics of an application.

The unique nature of CogniSim allows the controller to extract information about shaft disturbances that cannot be acquired by any traditional system, and if properly utilized can provide a fingerprinting capability that can be used to monitor the state of the motor and mechanical system over time.

This capability can be developed into a monitoring tool that will provide a more flexible approach to maintenance planning and execution based upon changing trends in the motor/mechanical systems operating signature.

Since CogniSim samples data at very high speeds, it generally allows the CogniSim controller to provide a natural capability as a spectrum analyzer, allowing the fingerprinting capability to be readily realized.