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[Study on fault diagnosis of power-shift steering transmission based on spectrometric analysis and SVM].
Zhang, Ying-Feng; Ma, Biao; Zhang, Jin-Le; Chen, Man; Fan, Yu-Heng; Li, Wen-Chang.
Afiliação
  • Zhang YF; School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China. zyfimportant@163.com
Guang Pu Xue Yu Guang Pu Fen Xi ; 30(6): 1586-90, 2010 Jun.
Article em Zh | MEDLINE | ID: mdl-20707155
ABSTRACT
Spectrometric oil analysis is an important method to study the running state of Power-Shift Steering Transmission (PSST). A method of multiple out least squares support vector regression was developed using spectrometric oil analysis data and SVM (Support Vector Machine). The spectrometric oil analysis data were studied using multiple out least squares support vector regression. It has been proved that the regression data are good in approximation effect for No. 1 PSST. And the predictive values for No. 2 PSST are highly veracious with the test data. The fault information was found and the fault position was determined through compar4tive analysis. This method has been proved to have practice significance for finding fault-hidden dangers and judging fault positions.
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Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Guang Pu Xue Yu Guang Pu Fen Xi Ano de publicação: 2010 Tipo de documento: Article País de afiliação: China País de publicação: CHINA / CN / REPUBLIC OF CHINA
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Guang Pu Xue Yu Guang Pu Fen Xi Ano de publicação: 2010 Tipo de documento: Article País de afiliação: China País de publicação: CHINA / CN / REPUBLIC OF CHINA