• DocumentCode
    66752
  • Title

    A Radio Frequency Polarimetric Sensor for Rotating Machine Analysis

  • Author

    Mueller, Jeffrey G. ; Pratt, Thomas G.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • Volume
    13
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4866
  • Lastpage
    4873
  • Abstract
    The analysis of rotating machines during their test and characterization phases provides information essential for their design. Afterward, the monitoring of rotating machines operating in production is increasingly popular for condition based maintenance programs. Typically, contact accelerometers or strain gauges are physically attached to rotating machine parts (rotors, stators, housing, etc.) and/or proximity sensors are mounted very near to rotating shafts to capture data on periodic motions and vibrations. Radio frequency signals offer a noncontact, remote-sensing alternative. The temporally changing polarization of a reflected or scattered radio frequency signal can be analyzed to provide suitable information for rotating machine analysis. This paper will present the theory and practical application for using radio frequency polarimetry in analyzing rotating machines. A common desktop fan will be measured in normal operating condition and in simulated faulty conditions to demonstrate this technology´s remote-sensing capabilities.
  • Keywords
    electric machines; polarimetry; radiofrequency measurement; remote sensing; sensors; common desktop fan; normal operating condition; radio frequency polarimetric sensor; remote-sensing capabilities; rotating machine analysis; simulated faulty conditions; Blades; Frequency-domain analysis; Radio frequency; Rotating machines; Sensors; Shafts; Time-domain analysis; Rotating machines; polarization mode dispersion; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2276096
  • Filename
    6573353