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Study on Fault Classification of Power-Shift Steering Transmission Based on v-Support Vector Machine

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Yuan Zhu

    (Academy Military Transportation)

  • Ying-feng Zhang

    (Academy Military Transportation)

  • Ai-yong Du

    (Academy Military Transportation)

Abstract

This paper focused on the condition monitoring problem of the Power-Shift Steering Transmission (PSST). Spectrometric oil analysis is an important way to study the running state of PSST. Because of complicated nonlinear relationship in oil analysis data, a model of PSST’ fault classification based on v- Support Vector Machine (v-SVM) is proposed. The fundamental of v-SVM is researched. The influence of model parameters for performance of v-SVM is analyzed. Experimental results show that, comparing with C-support vector machine and BP neural network, the v-support vector machine has good properties in research of fault classification of PSST.

Suggested Citation

  • Yuan Zhu & Ying-feng Zhang & Ai-yong Du, 2013. "Study on Fault Classification of Power-Shift Steering Transmission Based on v-Support Vector Machine," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 647-654, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38433-2_70
    DOI: 10.1007/978-3-642-38433-2_70
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