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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhousheng Zhang Dengming Xiao Yilu Liu |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical Engineering, Shanghai Jiao Tong University, 200030 China (Zhousheng Zhang; Dengming Xiao) || Department of Electrical Engineering, Virginia University of Technology, Blacksburg, 24061 USA (Yilu Liu) |
| Abstract | This paper is concerned with an application of discrete wavelet transform (DWT) to adaptive extraction of partial discharge signals (PDs) from unknown and variable noise. The proposed method can be applied to both on-line energized network (energized with power frequency voltage) and some offline energized network (energized with approximate power frequency voltage). This paper describes an adaptive extraction system (AES) which performs partition of original discrete sequences to more than one time-frames, implements DWT of each time-frame and identifies noise from PDs. AES tunes sets of thresholds according to obtained noise characteristics, and then it modifies DWT coefficients on different scales of DWT to separate noise from PDs. The AES approach produces a significantly improved signal-to-noise ratio (SNR) and almost undistorted partial discharge pulse waveshape at the output of AES. Simulation and experiment studies associated with this AES approach are presented in this paper. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 401414 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4839981 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Partial discharges Power cables Wavelet transform Power cable insulation Interference Time domain analysis Waveforms Adaptive signal detection Distortion Discrete wavelet transforms Signal decomposition Electromagnetic interference Voltage Frequency Signal reconstruction Power system reliability Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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