Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT
Online impulse frequency response analysis (IFRA) has proven to be a promising method to detect and diagnose the transformer winding mechanical faults when the transformer is in service. However, the existing fast Fourier transform (FFT) is actually not suitable for processing the transient signals...
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8452976/ |
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doaj-14d5cb1aed2841fbafe34ff2c8a473e32021-03-29T21:13:12ZengIEEEIEEE Access2169-35362018-01-016489344894510.1109/ACCESS.2018.28680588452976Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWTZhongyong Zhao0https://orcid.org/0000-0002-4089-4470Chao Tang1Chenguo Yao2Qu Zhou3Lingna Xu4Yingang Gui5Syed Islam6College of Engineering and Technology, Southwest University, Chongqing, ChinaCollege of Engineering and Technology, Southwest University, Chongqing, ChinaState Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, ChinaCollege of Engineering and Technology, Southwest University, Chongqing, ChinaCollege of Engineering and Technology, Southwest University, Chongqing, ChinaCollege of Engineering and Technology, Southwest University, Chongqing, ChinaSchool of Electrical Engineering and Computing, Curtin University, Perth, WA, AustraliaOnline impulse frequency response analysis (IFRA) has proven to be a promising method to detect and diagnose the transformer winding mechanical faults when the transformer is in service. However, the existing fast Fourier transform (FFT) is actually not suitable for processing the transient signals in online IFRA. The field test result also shows that the IFRA signature obtained by FFT is easily distorted by noise. An improved method to obtain the online IFRA signature based on multi-scale complex continuous wavelet transform is proposed. The electrical model simulation and online experiment indicate the superiority of the wavelet transform compared with FFT. This paper provides guidance on the actual application of the online IFRA method.https://ieeexplore.ieee.org/document/8452976/Impulse frequency responsepower transformerswindingscomplex CWTfast Fourier transformelectrical model |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Zhongyong Zhao Chao Tang Chenguo Yao Qu Zhou Lingna Xu Yingang Gui Syed Islam |
| spellingShingle |
Zhongyong Zhao Chao Tang Chenguo Yao Qu Zhou Lingna Xu Yingang Gui Syed Islam Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT IEEE Access Impulse frequency response power transformers windings complex CWT fast Fourier transform electrical model |
| author_facet |
Zhongyong Zhao Chao Tang Chenguo Yao Qu Zhou Lingna Xu Yingang Gui Syed Islam |
| author_sort |
Zhongyong Zhao |
| title |
Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT |
| title_short |
Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT |
| title_full |
Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT |
| title_fullStr |
Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT |
| title_full_unstemmed |
Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT |
| title_sort |
improved method to obtain the online impulse frequency response signature of a power transformer by multi scale complex cwt |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2018-01-01 |
| description |
Online impulse frequency response analysis (IFRA) has proven to be a promising method to detect and diagnose the transformer winding mechanical faults when the transformer is in service. However, the existing fast Fourier transform (FFT) is actually not suitable for processing the transient signals in online IFRA. The field test result also shows that the IFRA signature obtained by FFT is easily distorted by noise. An improved method to obtain the online IFRA signature based on multi-scale complex continuous wavelet transform is proposed. The electrical model simulation and online experiment indicate the superiority of the wavelet transform compared with FFT. This paper provides guidance on the actual application of the online IFRA method. |
| topic |
Impulse frequency response power transformers windings complex CWT fast Fourier transform electrical model |
| url |
https://ieeexplore.ieee.org/document/8452976/ |
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