• DocumentCode
    3279214
  • Title

    Insulation Condition Assessment Through Spectroscopic and Chemometrics Analysis

  • Author

    Stevens, Gary C. ; Herman, Henryk ; Baird, Patrick

  • Author_Institution
    Gnosys UK Ltd; University of Surrey, Guildford, Surrey GU2 7XH, UK. E-mail: g.stevens@gnosysgroup.com
  • fYear
    2007
  • fDate
    8-13 July 2007
  • Firstpage
    717
  • Lastpage
    720
  • Abstract
    The condition of high voltage cable, power transformer and generator insulation is affected by a number of manufacturing and operating variables. Although forensic examinations of solid insulation failures are commonly conducted and there are many electrical tests to assess the condition of the insulation system, there has been only a limited effort to investigate and spatially map the changes in chemical characteristics and properties that can also affect failure. We have applied a range of non-destructive spectroscopic methods such as infrared, Raman, including their respective microprobe methods, and UV-VIS-NIR spectroscopy to measure spatially resolved chemical composition and structure of polymeric insulated cables, power transformers and generator stator insulation both before and after electrical and thermal stressing. By applying multivariate statistical analysis (MVSA), we have been able to explore and extract relationships between chemical change in the material and "intrinsic variables" such as stressing time, temperature and voltage as well as explore the relationships with physical properties and performance such as electrical breakdown strength, mechanical strength and charge mobility. Recent work illustrates the power of such methods in exploring key property and performance relationships and the ability to map these spatially with new remote and rapid spectroscopic optical probe methods. We propose that well-populated MVSA models can relate chemical and physical change in solid insulation systems to electrical measurements, to potential indicators of insulation ageing and provide a predictive capability for insulation condition assessment which could assist in insulation life prediction.
  • Keywords
    Cable insulation; Chemicals; Dielectrics and electrical insulation; Electric variables measurement; Power generation; Power transformer insulation; Power transformers; Raman scattering; Solids; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid Dielectrics, 2007. ICSD '07. IEEE International Conference on
  • Conference_Location
    Winchester, UK
  • Print_ISBN
    1-4244-0750-8
  • Electronic_ISBN
    1-4244-0751-6
  • Type

    conf

  • DOI
    10.1109/ICSD.2007.4290914
  • Filename
    4290914