• DocumentCode
    2059274
  • Title

    Detecting loose stator wedges in large motors

  • Author

    Ma, Xiaoqin ; Lu, Weisheng ; Xie, Hengkun

  • Author_Institution
    State Key Lab. of Electr. Insulation for Power Equip., Xi´´an Jiaotong Univ., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    685
  • Lastpage
    688
  • Abstract
    This paper presents test results obtained from studies aimed at determining whether the acoustic method, a nondestructive test technique based on the use of transient stress waves, can be used to detect the loose stator wedges. During the detection, mechanical impact is applied on the wedges and the responses are recorded by a microphone. Frequency analysis is performed in order to provide a description of the signal in frequency domain. It is shown that characteristic frequency in acoustical spectrum is the key to detecting loose stator wedges. Results also show that amplitude of the characteristic frequency increases corresponding to the looseness of wedges. Besides analysis of the test results, this study successfully introduces a thin plate resonator model for analyzing the response of a loose wedge when an impact is performed. The value of characteristic frequency is calculated for better interpretation of the detection results
  • Keywords
    acoustic noise measurement; electric motors; machine testing; microphones; nondestructive testing; stators; acoustic method; acoustic spectrum; frequency analysis; loose stator wedges detection; mechanical impact; microphone; nondestructive test technique; thin plate resonator model; transient stress waves; Acoustic signal detection; Acoustic testing; Acoustic waves; Frequency; Microphones; Nondestructive testing; Performance analysis; Signal analysis; Stators; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
  • Conference_Location
    Himeji
  • Print_ISBN
    4-88686-053-2
  • Type

    conf

  • DOI
    10.1109/ISEIM.2001.973769
  • Filename
    973769