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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hui Ma Junhyuck Seo Saha, T. Chan, J. Martin, D. |
| Copyright Year | 2013 |
| Description | Author affiliation: Univ. of Queensland, Brisbane, QLD, Australia (Hui Ma; Junhyuck Seo; Saha, T.; Chan, J.; Martin, D.) |
| Abstract | Continuous Partial discharge (PD) monitoring can help assess the integrity of transformer insulation system. Over the past few decades, various aspects of PD techniques have been investigated. Current research of PD focuses on multiple PD sources classification, which aims to identify the types of several defects that may coexist in a transformer and cause discharge. This paper develops a hybrid discrete wavelet transform (DWT) and support vector machine (SVM) algorithm targeting multiple PD sources classification. To evaluate the performance of this algorithm, experiments on a number of artificial PD models and transformers are conducted in the paper. |
| Sponsorship | IEEE Dielectr. Electr. Insul. Soc. |
| Starting Page | 1193 |
| Ending Page | 1196 |
| File Size | 1130422 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479925971 |
| DOI | 10.1109/CEIDP.2013.6747430 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Partial discharges Discharges (electric) Fault location Classification algorithms Support vector machines Discrete wavelet transforms |
| Content Type | Text |
| Resource Type | Article |
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