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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:11)
Article Information:

Diagnosing Integrity of Transformer Windings by Applying Statistical Tools to Frequency Response Analysis Data Obtained at Site

M. Prameela, Pradeep M. Nirgude and G. Radhakrishna Murthy
Corresponding Author:  M. Prameela 
Submitted: August 21, 2013
Accepted: September 03, 2013
Published: March 20, 2014
Abstract:
This study presents the results of Sweep Frequency Response Analysis (SFRA) measurement work carried out on number of power transformers at various sites involving problems like shorting of winding turns, core faults and related issues, On-Load Tap Changer (OLTC) open contacts and winding displacement issues. The numerical parameters Viz., Min-Max ratio (MM), Mean Square Error (MSE), Maximum Absolute difference (MABS), Absolute Sum of Logarithmic Error (ASLE), Standard Deviation (S.D.) and Correlation Coefficient (CC) computed in three different frequency bands are presented to aid the interpretation of SFRA data. Comparison of frequency responses among different phases of the same transformer and with sister units were carried out to interpret the data. The study presents limits for various numerical parameters to diagnose the condition of the transformer and discriminate the faulty winding after accounting for manufacturing, design and asymmetry of the winding. The results presented in the study will help in interpreting the SFRA data by applying numerical techniques and assess the condition of the transformer.

Key words:  Condition assessment, deformation, displacements, numerical approach, SFRA, ,
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Cite this Reference:
M. Prameela, Pradeep M. Nirgude and G. Radhakrishna Murthy, . Diagnosing Integrity of Transformer Windings by Applying Statistical Tools to Frequency Response Analysis Data Obtained at Site. Research Journal of Applied Sciences, Engineering and Technology, (11): 2387-2393.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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