Study on transformer fault diagnosis technology of VMD local signal de-noising based on kurtosis - approximate entropy
Dingke Chen 1  
,  
Changbin Mao 1
,  
 
 
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State Grid Chongqing Beibei power supply company
CORRESPONDING AUTHOR
Dingke Chen   

State Grid Chongqing Beibei power supply company
Online publication date: 2020-02-17
Publication date: 2020-02-17
Submission date: 2019-11-07
Final revision date: 2019-12-26
Acceptance date: 2020-02-10
 
Diagnostyka 2020;21(1):81–87
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ABSTRACT
With the needs of social development, the scale of power equipment continues to expand. Among them, the transformer, as the core equipment in the power system, plays a key role in the safe and stable operation of the power system. However, in the field where the field strength is too high, partial breakdown of insulating media, that is the partial discharge occurs, which brings certain threats and damage to the safe operation of the power system. Therefore, this article uses the kurtosis-approximate entropy variational mode decomposition (VMD) partial discharge signal denoising method is used to preprocess the UHF partial discharge signal, through the simulation analysis and the result comparison, the feasibility of the method for denoising the partial signal of the transformer is clarified, designed to improve the safety and reliability of transformer operation.
 
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ISSN:1641-6414