Detection of Power Transformer Winding Deformation Using Improved FRA Based on Binary Morphology and Extreme Point Variation

2018 ◽  
Vol 65 (4) ◽  
pp. 3509-3519 ◽  
Author(s):  
Zhongyong Zhao ◽  
Chenguo Yao ◽  
Chengxiang Li ◽  
Syed Islam
2014 ◽  
Vol 666 ◽  
pp. 149-153 ◽  
Author(s):  
Hong Zhong Ma ◽  
Ning Jiang ◽  
Chun Ning Wang ◽  
Zhi Hui Geng

according to analysing the generation principle of transformer winding deformation and its impact on the vibration signal, and make a large number of trial, it can be found in addition to the fundamental frequency component that can reflect the failure, the new characteristic frequency which conclude 50Hz frequency component and some of its harmonic components, the harmonic components of the fundamental frequency can also reflect the failure. Transformer winding deformation fault diagnosis method is proposed based on the relationship between the characteristic frequency, it can not only diagnose whether the failure inside the transformer windings, but also determine the type of fault. In order to verify the proposed method, deformation fault is set to the actual transformer winding. After de-noising, discounted processing, the acquisition monitoring points of vibration signal is used by the proposed method, and the actual transformer is diagnosed, The diagnostic result is same with actual failure. It is shown that the proposed diagnostic method is accurate and feasible.


Author(s):  
Xinhe Liu ◽  
Wenwu Hang ◽  
Haitao Wu

At present, the detection of transformer winding deformation in the offline phase, in order to discover the small transformer winding deformation, realize the online monitoring, in this paper, using nanosecond pulse frequency response analysis method, the detection of transformer winding deformation is studied, the results show that the nanosecond pulse frequency response analysis method in the detection of transformer winding deformation with high reliability and sensitivity.In order to verify the repeatability of the method, the method was used again at a 30-day interval under the condition that the detection environment was basically unchanged. The ρ value was 0.9719 in the range of 1 kHz∼1 MHz.


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