• DocumentCode
    724454
  • Title

    Development of an experimental software for rub-impact fault recognition research

  • Author

    Yanjun Lu ; Lihe Wan ; Yi Liu

  • Author_Institution
    Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4604
  • Lastpage
    4607
  • Abstract
    Rotor and stator rubbing is a common fault of rotating machinery, for instance, aircraft engine, currently, numerous methods are presented to address the issues of Rub-impact fault. For the purpose of effective research for the different diagnosis methods, a experimental system for Rub-Impact fault diagnosis research is achieved in this paper, with the mixed programming of Matlab and VC++ applied. As an illustration, three methods, such as Linear-SVM, RBF-SVM and BP network, are embedded and the respective diagnosis results are analyzed. In addition, a brief introduction of mixed programming with Visual C ++ and MatLAB and the system architecture are given in this paper. The application of software platform gives the results that the system presented is practical and effective in fact.
  • Keywords
    C++ language; backpropagation; fault diagnosis; machinery; mechanical engineering computing; radial basis function networks; rotors (mechanical); stators; support vector machines; BP network; Matlab mixed programming; RBF-SVM; VC++; aircraft engine; experimental software development; fault diagnosis methods; linear-SVM; rotating machinery fault; rotor rubbing; rub-impact fault recognition research; stator rubbing; system architecture; Engines; Fault diagnosis; Libraries; MATLAB; Programming; Support vector machines; Visualization; fault diagnosis; mixed programming; rub-impact; simulation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162737
  • Filename
    7162737