Full Content is available to subscribers

Subscribe/Learn More  >

Identification in Rotordynamics: Uncertainty Analysis and Quality Estimation

[+] Author Affiliations
Qingyu Wang, Brian Pettinato

Elliott Company, Jeannette, PA

Eric Maslen

University of Virginia, Charlottesville, VA

Paper No. GT2009-59103, pp. 629-636; 8 pages
  • ASME Turbo Expo 2009: Power for Land, Sea, and Air
  • Volume 6: Structures and Dynamics, Parts A and B
  • Orlando, Florida, USA, June 8–12, 2009
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4887-6 | eISBN: 978-0-7918-3849-5
  • Copyright © 2009 by ASME


Critical to the result value of an identification process is establishment of the reliability or accuracy of the identified parameters. Uncertainty in the identification process can stem both from uncertainty in the analytical model and from uncertainty in the test data. The uncertainty propagation turns out to be difficult to estimate due to rather complicated identification process and the dimension of the analytical model. Currently, there is no uncertainty analysis and quality estimation available in the literature to the author’s knowledge for model-based identification in rotordynamics. This paper borrows linear fractional transformation (LFT) and μ-analysis from the controls community to perform this job. The basic idea is that the uncertainty of the identified result can be expressed as a system with uncertainties, and therefore quality estimation is equal to bounding the gain of this system. This system is built in two steps: first, different types of source uncertainties are expressed as LFT format, and second, the whole identification process with uncertainties is transformed into a single LFT format. μ-analysis is then used to bound the gain of this LFT. The uncertainty analysis and bounding algorithm are illustrated with the same experimental data used in the last paper, for both model-based and direct measurement methods.

Copyright © 2009 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In