DocumentCode
845496
Title
Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers
Author
Nirgude, P.M. ; Ashokraju, D. ; Rajkumar, A.D. ; Singh, B.P.
Author_Institution
UHV Res. Lab., Central Power Res. Inst., Hyderabad
Volume
2
Issue
5
fYear
2008
fDate
9/1/2008 12:00:00 AM
Firstpage
275
Lastpage
285
Abstract
Frequency response analysis (FRA) is an emerging, powerful non-intrusive condition monitoring and diagnostic tool for verifying the mechanical integrity of power transformers. FRA results are graphical in nature and require trained experts to interpret test results. The work reported discusses numerical-criteria- based evaluation techniques. Persons not familiar with interpreting the FRA results can apply the evaluation criteria. The various criteria help in deriving proper conclusions. By evaluating correlation coefficient (CC), standard deviation and absolute sum of logarithmic error (ASLE) techniques, it is possible to discriminate between defective and non-defective windings. Experimental studies were conducted on two test transformers for axial and radial displacements, and additionally two sets of identical substation transformers. The techniques mentioned above are useful for interpreting frequency responses even in situations when a reference fingerprint was not available. However, it was concluded that if original fingerprints are available, the method gives very reliable indication for diagnosing the faulty winding. In addition, the severity of displacement/deformation can also be concluded from the amount of variation of the parameters from the suggested critical values.
Keywords
fault diagnosis; frequency measurement; frequency response; power transformers; transformer windings; correlation coefficient; faulty winding diagnosis; frequency response measurement; logarithmic error technique; non-intrusive condition monitoring; numerical evaluation technique; power transformer; standard deviation;
fLanguage
English
Journal_Title
Science, Measurement & Technology, IET
Publisher
iet
ISSN
1751-8822
Type
jour
DOI
10.1049/iet-smt:20070072
Filename
4607776
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