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Non-Destructive Measurement of the Degradation of Transformer Insulating Paper.

Authors :
Baird, Patrick J.
Herman, Henryk
Stevens, Gary C.
Jarman, Paul N.
Source :
IEEE Transactions on Dielectrics & Electrical Insulation. Apr2006, Vol. 13 Issue 2, p309-318. 10p. 8 Black and White Photographs, 5 Diagrams, 2 Charts, 12 Graphs.
Publication Year :
2006

Abstract

Knowledge of the condition of power transformer winding insulation paper is fundamental to making optimum asset replacement decisions in the power industry. The ability to assess the aged condition of Kraft paper quickly and non-destructively using portable instrumentation would significantly increase the opportunities for gaining this knowledge. Insulation paper degrades over time in-service and its degree of polymerization (DP) reduces, eventually affecting its mechanical strength. At low DP levels the insulation may start to disintegrate and the risk of electrical breakdown increases. Currently-used methods of estimating DP are either approximate or destructive. The use of spectroscopy together with multivariate statistical analysis (MVSA) provides a powerful non-destructive evaluation of the condition of paper. From initial feasibility studies, we have developed a simple, portable system (TRANSPEC) using fiber-optics and broad-band spectroscopy that can measure the degree of polymerization of various aged transformer papers to a precision of approximately 30 DP units with a spatial resolution of 14 mm. The system can also measure the chemical composition and condition of the insulating mineral oil. MVSA regression models were constructed from library spectral data, and these models are used to predict the DP of other papers with parameters that fall within the range spanned by the set of calibration samples. Separating oil and moisture information from wetted paper is possible and will be reported in a separate publication. With a single TRANSPEC system, non-destructive in-situ analysis of the DP of insulating paper is possible, providing a rapid cost-effective method for transformer insulation condition assessment and monitoring, which correlates well with current destructive methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10709878
Volume :
13
Issue :
2
Database :
Academic Search Index
Journal :
IEEE Transactions on Dielectrics & Electrical Insulation
Publication Type :
Academic Journal
Accession number :
20590735
Full Text :
https://doi.org/10.1109/TDEI.2006.1624275