DocumentCode
914868
Title
Non-destructive measurement of the degradation of transformer insulating paper
Author
Baird, P.J. ; Herman, Henryk ; Stevens, G.C. ; Jarman, Paul N.
Author_Institution
Polymer Res. Centre, Surrey Univ., Guildford, UK
Volume
13
Issue
2
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
309
Lastpage
318
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.
Keywords
condition monitoring; costing; decision making; electric breakdown; insulation testing; nondestructive testing; paper; polymerisation; power transformer insulation; power transformer testing; regression analysis; risk analysis; spectrochemical analysis; transformer oil; transformer windings; wetting; broad-band spectroscopy; calibration; cellulose degradation; chemical composition measurement; condition assessment; condition monitoring; cost-effective method; degree of polymerization; electrical breakdown; fiber-optic spectroscopy; insulation mineral oil; kraft paper insulation; mechanical strength; multivariate statistical analysis; nondestructive testing; power industry; power transformer winding; regression model; risk analysis; wetting;
fLanguage
English
Journal_Title
Dielectrics and Electrical Insulation, IEEE Transactions on
Publisher
ieee
ISSN
1070-9878
Type
jour
DOI
10.1109/TDEI.2006.1624275
Filename
1624275
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