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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shangbin Jiao Sha Wang Gang Zheng |
| Copyright Year | 2008 |
| Description | Author affiliation: Xi'an Univ. of Technol., Xi'an (Shangbin Jiao; Sha Wang; Gang Zheng) |
| Abstract | A novel approach to identify inrush current and internal fault current for power transformer protection based on generalized S-transform is presented. Generalized S-transform is a very powerful tool for non-stationary signal analysis giving the information of transient currents both in time and in frequency domains. It is used to extract patterns from inrush current and internal faults. The time-frequency contours are obtained after generalized S-transform, it is found that the time-frequency contours in case of inrush current are different from that in case of internal faults. The spectral energy and standard deviation from the generalized S-transform of signal are computed, classification of inrush current and internal faults is done by BP neural networks. Simulation results and dynamic test results indicate that this technique is effective under different fault conditions. |
| Starting Page | 4317 |
| Ending Page | 4322 |
| File Size | 1203271 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | IEEE Consumer Electronics Society(CES) |
| Subject Keyword | Surge protection Time frequency analysis Fault diagnosis Fault currents Power transformers Signal analysis Transient analysis Frequency domain analysis Data mining Computer networks |
| Content Type | Text |
| Resource Type | Article |
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