Full Content is available to subscribers

Subscribe/Learn More  >

A Stochastic Model for a Compressor Stability Measure

[+] Author Affiliations
Manuj Dhingra, Yedidia Neumeier, J. V. R. Prasad

Georgia Institute of Technology, Atlanta, GA

Andrew Breeze-Stringfellow, Hyoun-Woo Shin, Peter N. Szucs

GE Aircraft Engines, Cincinnati, OH

Paper No. GT2006-91182, pp. 833-843; 11 pages
  • ASME Turbo Expo 2006: Power for Land, Sea, and Air
  • Volume 2: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Controls, Diagnostics and Instrumentation; Environmental and Regulatory Affairs
  • Barcelona, Spain, May 8–11, 2006
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4237-1 | eISBN: 0-7918-3774-2
  • Copyright © 2006 by ASME


A stability measure rooted in the unsteady characteristics of the flow field over the compressor rotor has been previously developed. The present work explores the relationship between the stochastic properties of this measure, called the correlation measure, and the compressor stability boundary. A stochastic model has been developed to gauge the impact of the correlation measure’s stochastic nature on its applicability to compressor stability management. The genesis of this model is in the fundamental properties of a specific stochastic process, one that is created by the threshold-crossings of a random process. The model validation utilizes data obtained on three different axial compressor facilities. These include a single stage low speed axial compressor, a four stage low speed research compressor and an advanced technology demonstrator high speed compressor. This paper presents details of the model development and validation, as well as, closed loop experimental results to demonstrate correlation measure’s usefulness in compressor stability management.

Copyright © 2006 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