By Topic

Alternative statistical techniques for aiding SFRA diagnostics in transformers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
K. P. Badgujar ; Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai-400076, India ; M. Maoyafikuddin ; S. V. Kulkarni

In order to aid the interpretative capability of the sweep frequency response analysis (SFRA) technique used for deformation diagnostics of transformers, two new statistical indicators, viz. the t-test and comparative standard deviation (CSD) have been proposed in this study. The motivations behind suggesting the t-test are two-fold, viz. (a) the ambiguity in the results provided by some statistical parameters for borderline cases, and (b) the fact that commonly used statistical parameters require the same sample data size and spot frequencies of the SFRA signatures being compared. The CSD parameter is a logical extension of standard deviation for the comparison of two data sets. The advantages of using the proposed statistical indicators have been demonstrated through six case studies.

Published in:

IET Generation, Transmission & Distribution  (Volume:6 ,  Issue: 3 )