Paper Info
Title
Diagnosing Transformer Winding Deformation Faults Based on the Analysis of Binary Image Obtained From FRA Signature.
Abstract
Frequency response analysis (FRA) has been widely accepted as a diagnostic tool for power transformer winding deformation faults. Typically, both amplitude-frequency and phase-frequency signatures are obtained by an FRA analyzer. However, most existing FRA analyzers use only the information on amplitude-frequency signature, while phase-frequency information is neglected. It is also found that in some cases, the diagnostic results obtained by FRA amplitude-frequency signatures do not comply with some hard evidence. This paper introduces a winding deformation diagnostic method based on the analysis of binary images obtained from FRA signatures to improve FRA outcomes. The digital image processing technique is used to process the binary image and obtain a diagnostic indicator, to arrive at an outcome for interpreting winding faults with improved accuracy.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2907648
IEEE ACCESS
Keywords
Field
DocType
Frequency response analysis,power transformers,windings,binary image,fault identification
Transformer windings,Computer science,Binary image,Electronic engineering,Deformation (mechanics),Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Zhongyong Zhao112.05
Chenguo Yao2137.43
chao tang355.83
Chengxiang Li422.39
Fayou Yan500.68
S. M. S. Islam6826.99