Application of Digital Image Processing to Detect Short-Circuit Turns in Power Transformers Using Frequency Response Analysis

2016 ◽  
Vol 12 (6) ◽  
pp. 2062-2073 ◽  
Author(s):  
Omar Aljohani ◽  
Ahmed Abu-Siada
Keyword(s):  
Image Processing ◽  
Frequency Response ◽  
Digital Image Processing ◽  
Digital Image ◽  
Short Circuit ◽  
Power Transformers ◽  
Response Analysis ◽  
Frequency Response Analysis

scholarly journals The investigation of frequency response analysis for power transformers winding condition

2019 ◽  
Vol 139 ◽  
pp. 01023
Author(s):  
Artyom Nazarov ◽  
Vitaliy Savelev ◽  
Dennis Frogh
Keyword(s):  
Frequency Response ◽  
Distribution Systems ◽  
Short Circuit ◽  
Mechanical Deformation ◽  
Power Transformers ◽  
Diagnostic Tools ◽  
Response Analysis ◽  
Frequency Response Analysis ◽  
Electrical Transmission ◽  
The Impact

In modern electrical transmission and distribution systems, power transformers are critical components within the network. In the event that a failure occurs in service, the impact can be far reaching. The majority of mechanical deformation within power transformers is due to short circuit faults. The ageing transformer population increases the likelihood of failure so a reliable diagnostic tools required to determine the remaining life of these assets. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical deformation in transformers, in the event of minor fault, the current FRA interpretation approach may not able to detect any variations between healthy and faulty FRA signatures. This paper focuses on FRA tests for power transformer and interpretation of obtained FRA signatures.

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