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
Link To Document :
بازگشت