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RESEARCH PAPERS

Signature Analysis for Mechanical Systems via Dynamic Data System (DDS) Monitoring Technique

[+] Author and Article Information
S. M. Wu, T. H. Tobin, M. C. Chow

Department of Mechanical Engineering, University of Wisconsin, Madison, Wisc. 53706

J. Mech. Des 102(2), 217-221 (Apr 01, 1980) (5 pages) doi:10.1115/1.3254733 History: Received May 28, 1979; Online November 17, 2009

Abstract

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.

Copyright © 1980 by ASME
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