• DocumentCode
    238270
  • Title

    Estimation of AR / ARMA signal model for gear mesh vibration signal

  • Author

    Thite, Rhushikesh ; Sondkar, Shilpa Y.

  • Author_Institution
    Instrum. Eng. Dept., Vishwakarma Inst. of Technol., Pune, India
  • fYear
    2014
  • fDate
    8-10 May 2014
  • Firstpage
    291
  • Lastpage
    295
  • Abstract
    Various methods of gear mesh faulty diagnosis are been worked upon. This paper present a novel approach of signal modeling of gear mesh vibration signal. The purpose of signal modeling is for the diagnosis the faulty condition of the gear mesh. This can be achieved by having a appropriate model of good condition gear mesh vibration signal and further using this model for analysis of the faulty condition. The scope of this paper is to present various methods in which the gear mesh vibration signal can be modeled and to estimate an appropriate model for the gear mesh vibration experimental set up. Different AR and ARMA signal models are analyzed and an suitable model for the experimental vibration set up is identified.
  • Keywords
    autoregressive moving average processes; condition monitoring; fault diagnosis; gears; vibrational signal processing; AR-ARMA signal model estimation; faulty condition; gear mesh faulty diagnosis methods; gear mesh vibration experimental set up; gear mesh vibration signal; signal modeling approach; Field-flow fractionation; Predictive models; Time-frequency analysis; Vibrations; AR and ARMA signal model; Burg method; Covariance method; Modified Covariance method; Prony´s method; Steiglitz Mc-Bride method; Yule Walker method; gear mesh vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4799-3913-8
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2014.7019448
  • Filename
    7019448