• DocumentCode
    2723832
  • Title

    Signature analysis of acceleration and torque signals of compressor pump assemblies for quality control

  • Author

    Demirdogen, A. Caner ; Houghton, J. Richard

  • Author_Institution
    Center for Manuf. Res. & Technol. Utilization, Tennessee Technol. Univ., Cookeville, TN, USA
  • fYear
    1988
  • fDate
    0-0 1988
  • Firstpage
    634
  • Lastpage
    639
  • Abstract
    A description is given of an evaluation of signature analysis techniques for online inspection of every compressor pump assembly from an automatic manufacturing and assembly line. Time-domain and frequency-domain diagnostic methods are tested for the ability to amplify the signal from a flaw in the presence of background signals. A signature analysis method is then developed for which the signals are only evaluated in the time domain. The torque signal must stay within a maximum and minimum pass band to be acceptable. The accelerometer signal is averaged to reduce random-noise signals, then squared and integrated. This is shown to provide a superior method for the detection of transient defects and the angular location of flaws.<>
  • Keywords
    assembling; computerised pattern recognition; computerised signal processing; manufacturing computer control; pumps; quality control; accelerometer signal; automatic manufacturing; compressor pump assembly; computerised pattern recognition; computerised signal processing; online inspection; quality control; signature analysis; time domain; torque signals; transient defects; Acceleration; Accelerometers; Assembly; Frequency domain analysis; Inspection; Manufacturing automation; Signal analysis; Testing; Time domain analysis; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
  • Conference_Location
    Charlotte, NC, USA
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-0847-1
  • Type

    conf

  • DOI
    10.1109/SSST.1988.17126
  • Filename
    17126