Skip to main content

Regularization Method Combined with Parameter Competitive Criterion for Model-Plant Performance Matching of Aircraft Engine

  • Conference paper
Information Computing and Applications (ICICA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 243))

Included in the following conference series:

  • 2238 Accesses

Abstract

The model-plant performance matching of aircraft engine can be used to solve several problems, such as fault diagnosis, model calibration and deterioration estimation etc. A partially mixed high bypass ration turbofan in civil aviation is modeling in simulating environments to constitute a model-plant performance matching benchmark. Depending on the nonlinear thermodynamic model between measured residuals and health factors, the regularization method with parameter competitive criterion is used to optimize the object value of components health factors. Several sets of simulated deterioration and fault data are naturalized as the invaliding cases, the better matching of model-plant is obtained from the simulating results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Doel, D.: An assessment of weighted-least-squares based gas path analysis. J. Eng. Gas Turbines Power 116(2), 366 (1994)

    Article  Google Scholar 

  2. Doel, D.L.: Interpretation of Weighted-Least-Squares Gas Path Analysis Results. Journal of Engineering for Gas Turbines and Power 125, 625 (2003)

    Article  Google Scholar 

  3. Mathioudakis, K., Kamboukos, P.: Assessment of Gas Path Diagnostic Schemes. ASME Turbo Expo paper GT2003-53862 (2003)

    Google Scholar 

  4. Aretakis, N., Mathioudakis, K.: Non-linear engine component fault diagnosis from a limited number of measurements using a combinatorial approach. In: Proceedings of ASME Turbo Expo 2002 ASME-GT-2002-30031 (2002)

    Google Scholar 

  5. Gulati, A., Taylor, D., Sign, R.: Multiple operating point analysis using genetic algorithm optimization for gas turbine diagnostic. In: XV ISABE, Bangalore, India, September 3-7 (2001), paper ISABE-2001-1139

    Google Scholar 

  6. Li, Y.G., Abdul Ghafir, M.F., Wang, L., et al.: Nonlinear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm. J. Eng. Gas Turbines Power 133(7), 071701(9 pages) (2011)

    Article  Google Scholar 

  7. Li, Y.G., Marinai, L., Lo Gatto, E., Pachidis, V., Pilidis, P.: Multiple Point Adaptive Performance Simulation Tuned to Aerospace Test-Bed Data. J. Propul. Power 25(3), 635–641 (2009)

    Article  Google Scholar 

  8. Li, Y.G.: Gas Turbine Performance and Health Status Estimation Using Adaptive Gas Path Analysis. Journal of Engineering for Gas Turbines and Power 132 (April 2010)

    Google Scholar 

  9. Roth, B.A., Doel, D.L., Cissell, J.J.: Probabilistic Matching of Turbofan Engine Performance Models to Test Data. ASME Paper No. GT2005-68201 (2005)

    Google Scholar 

  10. Henriksson, M., Léonard, O., Borguet, S., et al.: On Inverse Problems In Turbine Engine Parameter Estimation. In: ASME Turbo Expo 2007: Power for Land, Sea and Air, Montreal, Canada, May 14-17 (2007), GT2007-27756

    Google Scholar 

  11. Cerri, G., Borghetti, S., Salvini, C.: Inverse Methodologies For Actual Status Recognition Of Gas Turbine Components. In: Proceedings of PWR2005,ASME Power, Chicago, Illinois USA, April 5-7 (2005), PWR2005-50033

    Google Scholar 

  12. Vogel, C.R.: Computational Methods for Inverse Problem. Frontiers Appl. Math. (2002) ISBN: 0-898715-50-7

    Google Scholar 

  13. Krisch, A.: An Introduction to the Mathematical Theory of Inverse Problems. Applied Mathematical Sciences. Springer, New York (1996)

    Book  MATH  Google Scholar 

  14. Chatterjee, S., Litt, J.S.: Online Model Parameter Estimation of Jet Engine Degradation for Autonomous Propulsion Control, NASA/TM—2003-212608,vol. 8 (2003)

    Google Scholar 

  15. lee, G.P.: Performance Deterioration Based on Existing (Historical) Data – JT9D Jet Engine Diagnostics Program, NASA-CR-135448. Pratt and Whitney Aircraft Group

    Google Scholar 

  16. lifeng, W.: Study on Visual Dynamic Modeling Environment of Turbojet Engine. In: 12th Conference on Aerodynamic & Thermodynamic of Propulsion System of China, Sichuan, vol. 9 (2009)

    Google Scholar 

  17. DeCastro, J.A., Litt, J.S., Frederick, D.K.: A Modular Aero-Propulsion System Simulation of a Large Commercial Aircraft Engine”, NASA/TM—2008-215303 (September 2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, L., Zhong, D. (2011). Regularization Method Combined with Parameter Competitive Criterion for Model-Plant Performance Matching of Aircraft Engine. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27503-6_90

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27503-6_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27502-9

  • Online ISBN: 978-3-642-27503-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics