Power Quality Analysis using Complex Wavelet Transform
Overview & Synopsis
This paper deals with analysis of power signals using complex wavelet transform. In the first step power signals containing sag, swell, harmonic, sag-harmonic, swell harmonic, transient and spike were generated using Matlab. Various features like energy, kurtosis, entropy, skewness etc. were extracted using ‘db4’ and complex wavelet decomposition up to 11 levels. Next, an extensive database of these features was created. A neural network based on these parameters was trained and tested. It has been shown that the accuracy achieved by using complex wavelet is higher than obtained by the use of ‘db4’ wavelet.
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Document Information
| Document Title | Power Quality Analysis using Complex Wavelet Transform |
|---|---|
| Author / Organization | Bijaya Dr. Ketan Panigrahi, Anant Baijal, Krishna Chaitanya, Preetam Nayak |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2010 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-149803 |
| Original Source Link | Visit Source Page on hal.science » |