Study on the Fault Diagnosis of Turbine Based on Support Vector Machine

Bao Ling Liu

doi:10.4028/www.scientific.net/AMM.55-57.1803

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Study on the Fault Diagnosis of Turbine Based on...

Study on the Fault Diagnosis of Turbine Based on Support Vector Machine

Abstract:

The paper presented the improved “one to many” classification algorithm in the basis of analyzing the shortcoming of the two traditional multi-classification algorithm, and established multi-fault classifier based on SVM to class the turbine typical faults. The results shows that the classifier may get satisfied effect.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

1803-1806

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.1803

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Online since:

May 2011

Authors:

Bao Ling Liu

Keywords:

Fault Diagnosis, Support Vector Machine (SVM), Turbine

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References

[1] G. Eason, B. Noble, and I. N. Sneddon, On certain integrals of Lipschitz-Hankel type involving products of Bessel functions, Phil. Trans. Roy. Soc. London, vol. A247, p.529–551, April 1955. (references).

DOI: 10.1098/rsta.1955.0005

Google Scholar

[2] J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, p.68–73.

Google Scholar

[3] I. S. Jacobs and C. P. Bean, Fine particles, thin films and exchange anisotropy, in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, p.271–350.

Google Scholar

[4] K. Elissa, Title of paper if known, unpublished. Article in a conference proceedings.

Google Scholar

[5] H. Goto, Y. Hasegawa, and M. Tanaka, Efficient Scheduling Focusing on the Duality of MPL Representatives, Proc. IEEE Symp. Computational Intelligence in Scheduling (SCIS 07), IEEE Press, Dec. 2007, pp.57-64, doi: 10. 1109/SCIS. 2007. 357670.

DOI: 10.1109/scis.2007.367670

Google Scholar