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

Citation:

Cite this paper

Online since:

May 2011

Authors:

Bao Ling Liu

Keywords:

Fault Diagnosis, Support Vector Machine (SVM), Turbine

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References

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