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Title: Chaos concepts as diagnostic tools for assessing rotating machinery vibration signatures

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.51043· OSTI ID:401095
 [1];  [2]
  1. Department of Mechanical and Aerospace Engineering, The Case School of Engineering, Case Western Reserve University, Cleveland, Ohio 44106 (United States)
  2. Department of Systems Engineering, The Case School of Engineering, Case Western Reserve University, Cleveland, Ohio 44106 (United States)

Chaos content in measured vibration signals is of some practical importance in rotordynamical systems. Of particular interest is the relationship between the occurrence of determinsite chaos and the diagnosis of mechanical failures in rotating machinery. Two nonlinear rotordynamical systems were studied using simulation and various forms of subharmonic, quasiperiodic and chaotic vibrations were observed. Different routes into and out of chaos show important signs for wear assessment and failure prediction. Experimental test facilities are currently under development and the next steps involve experimental verification of the simulation results and the development of signal processing techniques for extracting the dynamical features of the vibration signatures from measured time series data. {copyright} {ital 1996 American Institute of Physics.}

OSTI ID:
401095
Report Number(s):
CONF-950730-; ISSN 0094-243X; TRN: 96:029474
Journal Information:
AIP Conference Proceedings, Vol. 375, Issue 1; Conference: 3. technical conference on nonlinear dynamics (chaos) and full spectrum processing, Mystic, CT (United States), 10-13 Jul 1995; Other Information: PBD: Jun 1996
Country of Publication:
United States
Language:
English