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

Abstract:

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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.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1803-1806

DOI:

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

Citation:

B. L. Liu "Study on the Fault Diagnosis of Turbine Based on Support Vector Machine", Applied Mechanics and Materials, Vols. 55-57, pp. 1803-1806, 2011

Online since:

May 2011

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$35.00

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