• DocumentCode
    551164
  • Title

    Fault diagnosis for rotor system based on complexity analysis

  • Author

    Zhang Shuai ; Qu Yanhuai ; Han Qingkai

  • Author_Institution
    Sch. of Inf. & Electron. Eng., Shandong Inst. of Bus. & Technol., Yantai, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4336
  • Lastpage
    4339
  • Abstract
    A nonlinear characteristic quantity analysis approach for distinguishing system chaos and nonlinear properties, complexity, is proposed and applied to rotor system with rub-impact at fixed limiters and oil whip fault diagnosis in this paper. Firstly, the theory and algorithm of complexity is introduced. And then combining with model, we utilize the approach together with Poincare map to analyze two groups of non-stationary fault signals from rotor system with rub-impact at fixed limiters and oil whip, respectively. Some conclusions are achieved and the results show that this method is an effective one to identify chaotic characteristic of non-stationary fault signals quantificationally. It can also provide a new way for nonlinear feature extraction and recognition of rotor system typical faults.
  • Keywords
    Poincare mapping; chaos; condition monitoring; fault diagnosis; feature extraction; impact (mechanical); mechanical engineering computing; rotors; signal processing; Poincare map; chaotic characteristic; complexity analysis; fixed limiters; nonlinear characteristic quantity analysis approach; nonlinear feature extraction; nonlinear properties; nonstationary fault signals; oil whip fault diagnosis; rotor system fault recognition; rub-impact; system chaos; Complexity theory; Fault diagnosis; Rotors; Shafts; Time frequency analysis; Vibrations; Chaotic Characteristic Analysis; Complexity; Fault Diagnosis; Non-stationary Signals; Poincaré Map; Rotor System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001508