Paper Title:
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.

  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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