• DocumentCode
    1611206
  • Title

    Acoustic evaluation of faults in electrical machines

  • Author

    Gaylard, A. ; Meyer, A. ; Landy, C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
  • fYear
    1995
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    Condition monitoring of induction motors traditionally involves current measurements to detect electrical faults, and accelerometer measurements to determine mechanical faults. This work focuses on the use of acoustic measurements for condition monitoring, and proceeds from preliminary work done by Reynders, et al. (1992). The feasibility of identifying loose stator coils by acoustic measurements is shown, as is the identification and verification of a suitable neural network to perform this task automatically
  • Keywords
    acoustic noise measurement; electric machine analysis computing; fault diagnosis; induction motors; machine testing; monitoring; neural nets; stators; acoustic measurements; condition monitoring; faults evaluation; induction motors; loose stator coils identification; neural network;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electrical Machines and Drives, 1995. Seventh International Conference on (Conf. Publ. No. 412)
  • Conference_Location
    Durham
  • Print_ISBN
    0-85296-648-2
  • Type

    conf

  • DOI
    10.1049/cp:19950852
  • Filename
    497713