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Pattern Identification in Complex Systems: A Statistical Thermodynamic Approach

[+] Author Affiliations
Shalabh Gupta, Abhishek Srivastav, Asok Ray

Pennsylvania State University, University Park, PA

Paper No. MSEC2006-21090, pp. 771-778; 8 pages
doi:10.1115/MSEC2006-21090
From:
  • ASME 2006 International Manufacturing Science and Engineering Conference
  • Manufacturing Science and Engineering, Parts A and B
  • Ypsilanti, Michigan, USA, October 8–11, 2006
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 0-7918-4762-4 | eISBN: 0-7918-3786-8
  • Copyright © 2006 by ASME

abstract

This paper presents a novel method of pattern identification in complex systems using the tools derived from statistical thermodynamics. Complexity issues arise in natural or human-engineered systems due to behavioral uncertainties and nonlinearities involved in the process dynamics. The paper introduces a novel concept of behavioral pattern identification and anomaly detection in mechanical systems from macroscopically observed time series of the available sensor data. The theme is built upon the principles of Statistical Thermodynamics and Information Theory . The efficacy of this method is experimentally validated on a laboratory apparatus where the behavioral changes accrue from the evolving fatigue damage in polycrystalline alloy structures.

Copyright © 2006 by ASME
Topics: Complex systems

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