Study on fault diagnosis of power-shift steering transmission based on spectrometric analysis and SVM

Ying Feng Zhang, Biao Ma*, Jin Le Zhang, Man Chen, Yu Heng Fan, Wen Chang Li

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

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.1PSST. 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 comparative analysis. This method has been proved to have practice significance for finding fault-hidden dangers and judging fault positions.

源语言英语
页(从-至)1586-1590
页数5
期刊Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
30
6
DOI
出版状态已出版 - 6月 2010

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