• DocumentCode
    3586372
  • Title

    Study of sensor fault detection based on modified SVM algorithm

  • Author

    Zhijia Yu ; Yinan Xu ; Yonghu Ma ; Yujing Wu ; Jin-Gyun Chung

  • Author_Institution
    Div. of Electron. & Commun. Eng., Yanbian Univ., Yanji, China
  • fYear
    2014
  • Firstpage
    294
  • Lastpage
    295
  • Abstract
    Sensor is an essential device in automation control system, and the reliable sensor signal has the massive benefits of the normal operation of whole system. This paper proposed an improved support vector machine (SVM) which is modified by clone select algorithm (CSA) for sensor fault detection. CSA - SVM observer is established by monitoring sensor in real-time, so as to find sensor fault in time. Simulation results show that the algorithm can be effective for fault detection.
  • Keywords
    fault diagnosis; sensors; support vector machines; SVM algorithm; automation control system; clone select algorithm; sensor fault detection; support vector machine; Solids; Clonal Selection; Fault detection; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2014 International
  • Type

    conf

  • DOI
    10.1109/ISOCC.2014.7087656
  • Filename
    7087656
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3586372