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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ukil, A. Zivanovic, R. |
| Copyright Year | 1986 |
| Abstract | This paper describes the application of the abrupt change detection technologies to detect the abrupt changes in the signals recorded during disturbances in the electrical power network of South Africa for disturbance analysis and relay performance monitoring. The aim is to estimate the time instants of the changes in the signal model parameters during the prefault condition, after initiation of fault, after the circuit-breaker opening and autoreclosure, etc. After these event-specific segmentations, the synchronization of the different digital fault recorder recordings are done based on the fault inception timings. The synchronized signals are segmented again. This synchronized segmentation is the first step toward automatic disturbance recognition, facilitating further complex feature vector analysis and pattern recognition. Besides, the synchronized, segmented recordings can be directly used to analyze certain kinds of disturbances and monitor the relay performance. This paper presents many practical examples from the power network in South Africa |
| Sponsorship | IEEE Power Engineering Society |
| Starting Page | 59 |
| Ending Page | 66 |
| Page Count | 8 |
| File Size | 1203766 |
| File Format | |
| ISSN | 08858977 |
| Volume Number | 22 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power system relaying Power system analysis computing Performance analysis Monitoring Circuit faults Africa Pattern recognition Signal analysis Digital relays Digital recording wavelet transform (WT) Abrupt change detection disturbance analysis relay performance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Energy Engineering and Power Technology Electrical and Electronic Engineering |
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