A new modeling technique called Dynamic Data System (DDS) is introduced for signature analysis. A one-horsepower electric motor experiment is used to demonstrate the methodology. The ‘normal’ operation is simulated by idling runs and eccentric loads representing the ‘defective’ operations. A DDS Monitoring Technique, by employing statistical quality control theory, is developed to monitor the operations of imposed electric motor defects. It takes thirteen seconds for data processing and calculation of a control variable value from an On-line programmed microprocessor to provide the control justification. The DDS Monitoring Technique proves to be effective and sensitive in identifying the operational status of a mechanical system.

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