2019
DOI: 10.1016/j.ijepes.2018.12.045
|View full text |Cite
|
Sign up to set email alerts
|

Experimental evaluation of detecting power transformer internal faults using FRA polar plot and texture analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 21 publications
(5 citation statements)
references
References 47 publications
0
5
0
Order By: Relevance
“…The above research confirms that the polar plot integrates the amplitude and phase characteristics of frequency response information, which improves the sensitivity of fault diagnosis compared to the traditional FRA method. However, in the above research, apart from RD faults, there was no discussion on other common winding deformation faults, such as cake to cake faults and cake to cake short circuit faults; More importantly, the article did not provide specific diagnostic strategies and methods [17][18][19] . The texture features of frequency response polar maps of several common transformer faults have been studied [20] , which is of great significance for fault diagnosis.…”
Section: Introductionmentioning
confidence: 99%
“…The above research confirms that the polar plot integrates the amplitude and phase characteristics of frequency response information, which improves the sensitivity of fault diagnosis compared to the traditional FRA method. However, in the above research, apart from RD faults, there was no discussion on other common winding deformation faults, such as cake to cake faults and cake to cake short circuit faults; More importantly, the article did not provide specific diagnostic strategies and methods [17][18][19] . The texture features of frequency response polar maps of several common transformer faults have been studied [20] , which is of great significance for fault diagnosis.…”
Section: Introductionmentioning
confidence: 99%
“…Various diagnostic systems exist for transformers [9][10][11]. The developed diagnostic methods for transformers are divided into off-line and on-line methods [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [27] studied the polar plot texture features of several common faults, which is of significance in fault diagnosis.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the feature extraction of signatures can be improved. In [27], only the gray-level co-occurrence matrix (GLCM) features were extracted and focused, which has limitations to some extent. However, most of the existing reported literature only used a single SVM classifier for transformer fault classification [29,32], which can be modified by a combination strategy of multiple SVMs, to improve the accuracy, calculation speed and robustness of fault classification.…”
Section: Introductionmentioning
confidence: 99%