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

doi:10.3964/j.issn.1000-0593(2010)06-1586-05

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

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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.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.

Original language	English
Pages (from-to)	1586-1590
Number of pages	5
Journal	Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
Volume	30
Issue number	6
DOIs	https://doi.org/10.3964/j.issn.1000-0593(2010)06-1586-05
Publication status	Published - Jun 2010

Keywords

Fault diagnosis
Power-shift steering transmission (PSST)
SVM
Spectrometric analysis

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10.3964/j.issn.1000-0593(2010)06-1586-05

Cite this

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title = "Study on fault diagnosis of power-shift steering transmission based on spectrometric analysis and SVM",

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.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.",

keywords = "Fault diagnosis, Power-shift steering transmission (PSST), SVM, Spectrometric analysis",

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AU - Zhang, Ying Feng

AU - Ma, Biao

AU - Zhang, Jin Le

AU - Chen, Man

AU - Fan, Yu Heng

AU - Li, Wen Chang

PY - 2010/6

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N2 - 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.

AB - 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.

KW - Fault diagnosis

KW - Power-shift steering transmission (PSST)

KW - SVM

KW - Spectrometric analysis

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

Abstract

Keywords

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