Research on the Winding Deformation Testing System for Transformers Based on the FRA

2014 ◽  
Vol 986-987 ◽  
pp. 1583-1586
Author(s):  
Zhong Yuan Zhang ◽  
Yan Bo Wang ◽  
Lin Kang Zhang

Short circuit currents or forces during transport can cause mechanical displacements of transformer windings. The transfer function method is presented as a tool to detect these displacements. In order to discover the hidden trouble of the transformer, in this paper, an on-line monitoring system based on FRA method is developed, the hardware performs the main functions: signal injection, filtering, amplifying, signal conditioning, and storing the result in computer. The software includes four modules: user login, data acquisition, data analysis, data query. Finally, the monitoring system is validated by a corresponding experimental study.

2014 ◽  
Vol 556-562 ◽  
pp. 2137-2140
Author(s):  
Hai Sheng Yang ◽  
Ling Liu ◽  
Cheng Jie Shi ◽  
Tao Chen ◽  
Yan Bo Wang

In order to discover the hidden trouble of the 10kV transformer, in this paper, on-line monitoring system based on LabVIEW is developed. The paper briefly introduces the basic concept of the virtual instrument and the frequency-response analysis (FRA), and then it expounds the development process of the hardware and software of this system. The hardware performs the main functions: signal injection, filtering, amplifying, signal conditioning, and storing the result in computer. The software includes four modules: user login, data acquisition, data analysis, data query. Finally, the monitoring system is validated by a corresponding experimental study.


2011 ◽  
Vol 60 (3) ◽  
pp. 269-281 ◽  
Author(s):  
Ebrahim Rahimpour ◽  
Stefan Tenbohlen

Fault diagnosis of actual large-power high-voltage windings using transfer function method The transfer function (TF) method is presently a well-known method used to detect various types of winding damage in power transformers. Although abundant research has been done on this subject using laboratory windings as test objects, it is hard to find one, whose test objects are actual large-power transformer windings. Hence, a 400 kV disc winding consisting of 86 discs is used in this paper to study turn-to-turn short circuit with the help of the TF method. To evaluate the effects of this type of fault on TF curves, some mathematical comparison algorithms are used in this research.


2013 ◽  
Vol 385-386 ◽  
pp. 605-608
Author(s):  
Jun Qiang Zhang ◽  
Zhi Ming Su ◽  
Tao Zhao ◽  
Yun Peng Liu

In recent years, with the development of the smart grid and high-voltage transmission technology, more and more attention has been paid online monitoring of high-voltage capacitive equipment. This paper developed a high-voltage capacitive equipment on-line monitoring system including hardware and software system. Hardware design takes DSP and precision AD as center including signal acquisition and conditioning unit, software part takes modular design including data processing and data query and acquisition control. The system uses zero flux micro-current sensors to collected signals and uses optical fiber to transmission signal, so, the phase measurement error can be control in and signal synchronous transmission can be guarantee. Field application shows that the system data accurate, reliable, stable operation.


2013 ◽  
Vol 446-447 ◽  
pp. 827-831
Author(s):  
Zhong Yuan Zhang ◽  
Tao Chen ◽  
Yan Bo Wang

Distribution transformer constitutes a significant asset for any distribution power system. Short circuit currents or forces can cause mechanical faults in transformer winding. In order to discover the hidden trouble of the transformer, in this paper, on-line monitoring system based on FRA method is developed, and signal source, signal injection, system software are introduced. Furthermore, a nanosecond impulse signal generator is used to inject impulse signals through a noninvasive capacitive sensor, to realize on-line monitoring for winding deformation of distribution transformer. Finally, the monitoring system is validated by a corresponding experimental study.


Endoscopy ◽  
2006 ◽  
Vol 38 (11) ◽  
Author(s):  
A Patel ◽  
DL Bovell ◽  
AD Corbett ◽  
RJ Holdsworth

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