• DocumentCode
    653031
  • Title

    SVM based fault classifier design for a water level control system

  • Author

    Dongyun Wang ; Xiaomin Qi ; Shengjun Wen ; Mincong Deng

  • Author_Institution
    Electron. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    152
  • Lastpage
    157
  • Abstract
    For classifying the faults of a water level control system, a fault classifier based on SVM is presented. Firstly, each kind of the possible faults is simulated to get the feature vector of each fault. Then, by analyzing the system states when the faults occur in the control system, the features of the faults are extracted. After that, the fault classifier based on SVM is designed to classify the faults. Finally, simulation is given to show the effectiveness of the investigated method.
  • Keywords
    control engineering computing; fault diagnosis; level control; pattern classification; support vector machines; SVM based fault classifier design; feature vector; water level control system; Control systems; Fault diagnosis; Kernel; Reliability theory; Support vector machines; faults classification; feature vector; support vector machine; water level control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
  • Conference_Location
    Luoyang
  • Print_ISBN
    978-1-4799-2518-6
  • Type

    conf

  • DOI
    10.1109/ICAMechS.2013.6681768
  • Filename
    6681768