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Multisensor Based Neutral Function Identification of Solenoid Valve

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Listed:
  • Yanqing Guo
  • Yongling Fu
  • Xiaoye Qi
  • Chun Cao

Abstract

Condition monitoring of hydraulic systems has been using automatic control in industrial system. In this paper, a sensor network based intelligent control is proposed for efficient solenoid valve identification. The detection system learns to detect the change of output pressure of multipoints that represent a more complicated task. Linear correlation analysis is introduced for feature extraction, which allows for a significant reduction in the dimension of original data without compromising the change detection performance. Implemented as an agent identifying the valve types under measurement, the support vector machine classifier achieves a significant high accuracy in identification and an increase in deployment efficiency. Experimental results prove that the system is feasible for application designs and could be implemented on technological platforms.

Suggested Citation

  • Yanqing Guo & Yongling Fu & Xiaoye Qi & Chun Cao, 2014. "Multisensor Based Neutral Function Identification of Solenoid Valve," International Journal of Distributed Sensor Networks, , vol. 10(4), pages 384973-3849, April.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:4:p:384973
    DOI: 10.1155/2014/384973
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