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Content Provider | IEEE Xplore Digital Library |
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Author | Zhou Qian Liu Yu Tang Ju Xie Yanbin |
Copyright Year | 2008 |
Description | Author affiliation: State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing (Tang Ju; Xie Yanbin) || Jiangbei Power Supply Bur., Chongqing Power Corp., Chongqing (Zhou Qian; Liu Yu) |
Abstract | In the field of electrical power engineering, pattern recognition is commonly used for classification of defects caused of partial discharge (PD) in gas insulated substation (GIS) in order to assess the insulated system in time. As phase information can't be acquired effectively using real wavelet transform for extracting features because of only real coefficients being existed, in this paper, the method of complex wavelet transform (CWT) for decomposing ultra-high frequency (UHF) PD signals is proposed; complex coefficient is constructed by combining the real part and imaginary part of complex wavelet coefficients which can describe PD signal integrally; and the features can be extracted from complex coefficients of each scale; additionally, optimal complex coefficients are selected by comparing Jsum criterion; Finally, PD samples are acquired through large number of experiments, and BP neural network is used to identify the PD source by four typical insulated defects effectively. The results show that the features extracted from the optimal compound coefficient corresponding to the best complex wavelet have wonderful results. |
Sponsorship | Nat. Natural Sci. Found. China |
Starting Page | 701 |
Ending Page | 704 |
File Size | 549523 |
Page Count | 4 |
File Format | |
ISBN | 9781424438235 |
DOI | 10.1109/ICHVE.2008.4774031 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-11-09 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Partial discharges Wavelet transforms Dielectrics and electrical insulation Power engineering Geographic Information Systems Substations Signal processing Feature extraction Pattern recognition Gas insulation |
Content Type | Text |
Resource Type | Article |
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