• DocumentCode
    1595509
  • Title

    Detection of induction motor operation condition by acoustic signal

  • Author

    Wu, Rong-Ching ; Tsai, Jong-Ian ; Chiang, Ching-Tai ; Ouyang, Chen-Sen

  • Author_Institution
    Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
  • fYear
    2010
  • Firstpage
    792
  • Lastpage
    797
  • Abstract
    This paper offers a new method to measure the operational condition of the induction motor. The acoustic signal is measured for analysis. It can not only still be detected normally when other signals can´t, but it also has the function of motor fault monitoring when it combines with a monitoring system completely. It makes signal sampling more convenient and easier, and also expands the functions and items of monitoring. The way of this method includes the following steps: firstly, the acoustic signal must be transformed into a spectrum by fast Fourier transform; secondly, the first band of the spectrum must be analyzed, and the peak frequency of this band calculated; thirdly, peak frequency-speed relation must be established; fourthly, the unknown speed with Lagrange polynomial must be calculated. From these steps, the method has a high degree of accuracy, and could detect induction motor speed and power.
  • Keywords
    acoustic signal detection; acoustic signal processing; condition monitoring; fast Fourier transforms; fault diagnosis; induction motors; signal sampling; Lagrange polynomial; acoustic signal; fast Fourier transform; induction motor operation condition; induction motor power; induction motor speed; motor fault monitoring; peak frequency-speed relation; signal detection; signal sampling; Acoustic measurements; Acoustic signal detection; Fast Fourier transforms; Fault detection; Frequency; Induction motors; Lagrangian functions; Monitoring; Signal analysis; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2010 8th IEEE International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    978-1-4244-7298-7
  • Type

    conf

  • DOI
    10.1109/INDIN.2010.5549641
  • Filename
    5549641