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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Yunqi Raza, Ahmed Mohammed, Faisal Parvez Ravishankar, Jayashri Phung, Toan |
| Abstract | Digital signal processing (DSP) methods have been used by many researchers for detection and classification of transient disturbances because of their fast and powerful abilities to recognise waveform distortions. However, some DSP methods such as the wavelet transformation (WT) show less accuracy when applied to noisy real data. In this study, disturbance features are extracted in the wavelet domain based on the WT levels. Moreover, a new feature extraction algorithm namely normalised Renyi entropy with the signal energy is applied. This algorithm has been proven to be effective and robust for noisy signals. However, their application in power systems has not yet been tested. Using a laboratory setup of an islanded micro-grid, experimental results validate the efficacy of the wavelet-based normalised Renyi entropy in the detection and classification of four disturbance types (voltage sag, interruption, harmonics, mixture of harmonics and sag). |
| Starting Page | 5284 |
| Ending Page | 5286 |
| Page Count | 3 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 18, Jul (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/18 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9362 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-15 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Biology And Medical Computing Classification Computer Vision And Image Processing Technique Detection Digital Signal Processing Digital Signal Processing Chips Digital Signal Processing Method Distributed Power Generation Distribution Network Disturbance Features Disturbance Types DSP Method Entropy Fast Ability Feature Extraction Feature Extraction Algorithm Integral Transforms Islanded Microgrid Medical Signal Processing Noisy Real Data Noisy Signal Power Distribution Fault Power Supply Quality Power System Powerful Ability Signal Classification Signal Energy Signal Processing Signal Processing And Detection Transient Disturbances Waveform Distortion Wavelet Domain Wavelet Transform Wavelet Transformation Wavelet-based Normalised Renyi Entropy |
| Content Type | Text |
| Resource Type | Article |
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