Knowledge extraction from aerodynamic simulation data of compressor rotor

In order to acquire the knowledge which was embedded in the simulation data of the aerodynamic optimization of the compressor, the method based on the entropy measurement and decision tree algorithm was applied to NASA rotor37. The data attributes were reduced through calculating the entropy of the...

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Bibliographic Details
Published inProcedia engineering Vol. 15; pp. 1792 - 1796
Main Authors Wang, Wei, Mo, Rong, Fan, Qingming
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2011
Subjects
Knowledge extraction ;Decision tree ;Aerodynamic optimization ;Simulation data ;NASA rotor37
Knowledge extraction ;Decision tree ;Aerodynamic optimization ;Simulation data ;NASA rotor37
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Summary:In order to acquire the knowledge which was embedded in the simulation data of the aerodynamic optimization of the compressor, the method based on the entropy measurement and decision tree algorithm was applied to NASA rotor37. The data attributes were reduced through calculating the entropy of the attributes of the experiment data set, and the rules of the optimization design were acquired by constructing the decision tree. The results indicate that the method of knowledge extraction is feasible in the filed of the optimization design of the compressor rotor.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2011.08.333