• DocumentCode
    1631980
  • Title

    Vibration faults diagnosis for centrifugal ventilator based on DDAGSVM

  • Author

    Wu, Xingwei

  • Author_Institution
    Dept. of Energy & Power Eng., Shenyang Inst. of Eng., Shenyang, China
  • Volume
    1
  • fYear
    2012
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    Multi-class algorithm based on Support Vector Machines, which is also called as Decision Directed Acyclic Graph method, is used for ventilator faults diagnosis in order to diagnose the vibration faults of centrifugal ventilator and improve ventilator run security and economical efficiency. Results indicate that the method is a novel means to ventilator faults diagnosis, which can not only diagnose common vibration faults accurately but also it has some features which are faster diagnosis rate and higher accuracy.
  • Keywords
    fault diagnosis; support vector machines; vibration measurement; DDAGSVM; centrifugal ventilator; decision directed acyclic graph method; multiclass algorithm; support vector machines; vibration faults diagnosis; Databases; Fault diagnosis; Mathematical model; Support vector machines; Temperature measurement; Training; Vibrations; Centrifugal Ventilator; Faults Diagnosis; Support Vector Machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-2465-6
  • Type

    conf

  • DOI
    10.1109/MSNA.2012.6324577
  • Filename
    6324577