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Research the Effect of Component Deterioration Based on the Cloud Particle Swarm Optimization

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Electrical Power Systems and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 99))

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Abstract

The rotors are the key components of engine which its’ performance deterioration play the important role in the engine performance. The component characteristic is revised through the compressor and turbine component revised factor. The performance deterioration of engine model is established based on the revised component characteristic which presented a new cloud particle swarm optimization in order to accelerate convergence. The effects of component performance deterioration are analyzed. The results offer theoretical referenced value to rotor component even engine performance deterioration and relative influence between components.

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References

  1. Kong, C.D., Ki, J.Y.: Performance Simulation of Turboprop Engine for Basic Trainer. ASME Paper No. 01-GT-391 (2001)

    Google Scholar 

  2. Kurzke, J.: How to Get Component Maps for Aircraft Gas Turbine Performance Calculations. ASME Paper No. 96-GT-164 (1996)

    Google Scholar 

  3. Kurz, R., Brun, K.: Degradation in gas turbine system. ASME Paper 20002GT2345 (2000)

    Google Scholar 

  4. Li, B.-w., Li, D.: Quantitative research on performance degradation of Single-stage compressor. J. Journal of Aerospace Power 7, 1588–1594 (2010)

    Google Scholar 

  5. Kennedy, Spcars, W.M.: Matching Algorithms to Problems: An Esperimental Test of the Particle Swam and Some Genetic Algorithms on the Multimodal Prablom Generator. In: Proceedings of the IEEE Int’l Conference on Evolutionary Computation (1998)

    Google Scholar 

  6. Naka, S., Genji, T., Yura, T., Fukuyama, Y.: A hybrid particle swarm optization for distribution state estimation. J. IEEE Transaction Power System 1, 60–68 (2003)

    Article  Google Scholar 

  7. Esmin, A.A.A., Lambert-Torres, G., de Souza, A.C.Z.: A hybrid particle swarm optimization applied to loss power minimization. J. IEEE Transaction Power Systems 2, 859–866 (2005)

    Article  Google Scholar 

  8. Clerc, M., Kennedy, J.: The particle swarm–explosion, stability, and convergence in a multidimensional complex space. J. IEEE Trans. Evol. Comput., 58–73 (2002)

    Google Scholar 

  9. Shi, Y., Eberhart, R.: Parameter selection in particle swarm optimization. In: Evolutionary Programming VIZ: Proc. EP 1998, pp. 591–600. Springer, New York (1998)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Yonghua, W., Dong, L. (2011). Research the Effect of Component Deterioration Based on the Cloud Particle Swarm Optimization. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_81

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  • DOI: https://doi.org/10.1007/978-3-642-21747-0_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21746-3

  • Online ISBN: 978-3-642-21747-0

  • eBook Packages: EngineeringEngineering (R0)

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