• DocumentCode
    974928
  • Title

    A novel planar mesh-type microelectromagnetic sensor. Part II. Estimation of system properties

  • Author

    Mukhopadhyay, Subhas Chandra

  • Author_Institution
    Inst. of Inf. Sci. & Technol., Massey Univ., Palmerston, New Zealand
  • Volume
    4
  • Issue
    3
  • fYear
    2004
  • fDate
    6/1/2004 12:00:00 AM
  • Firstpage
    308
  • Lastpage
    312
  • Abstract
    The use of planar-type sensors for the estimation of system properties has gained considerable importance in recent times because of its noncontact and nondestructive nature. The impedance of a coil in proximity of any conducting/nonconducting, magnetic/nonmagnetic surface is a complex function of many parameters, such as conductivity, permeability, and permittivity of near-surface materials, liftoff and coil pitch of the coil, etc. The transfer impedance (i.e., the ratio between the sensing voltage and the exciting current) of the planar-type microelectromagnetic sensors consisting of exciting and sensing coils is used for the estimation of the near-surface system properties. Two methods have been discussed for the postprocessing of output parameters from the measured impedance data. Based on the estimation of near-surface properties, it is possible to detect the existence of defects, to predict the degradation of material, fatigue, etc.
  • Keywords
    coils; electric impedance; electric sensing devices; flaw detection; magnetic sensors; micromagnetics; microsensors; neural nets; coil pitch; conductivity; exciting current; grid system; liftoff; microelectromagnetic sensors; near-surface materials; near-surface system; neural network model; nondestructive evaluation technique; output parameters; permeability; permittivity; planar-type sensors; postprocessing; property estimation; ratio; sensing coils; sensing voltage; system properties; transfer impedance; Coils; Conducting materials; Conductivity; Magnetic materials; Magnetic sensors; Permeability; Permittivity; Sensor systems; Surface impedance; Voltage; Grid system; neural network model; nondestructive evaluation technique; planar-type sensors; property estimation;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2004.827205
  • Filename
    1294910