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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Detection and classification of Real Time Power Quality Disturbance Signals with HMMs incorporating with SGWT Features |
| Authors Name: | S. Upadhyaya |
| Unique Id: | IJSDR1805112 |
| Published In: | Volume 3 Issue 6, June-2018 |
| Abstract: | In this paper, Second generation Wavelet Transform (SGWT) has been implemented along with the traditional discrete Wavelet Transform (DWT) for localization of different types of power quality (PQ) disturbance signals. Selected features have been extracted from the detail coefficient of the variants of WT and then fed as inputs to the classifiers in order to characterize the signals. Moreover, a comparative assessment of the PQ signal carried out with Multilayer perceptron (MLP) and Hidden Markov Models (HMMs). For localisation of power quality disturbances, the signals have been analysed upto four decomposition levels whereas for classification the signals are decomposed for seven decomposition levels. In order to represent in realistic environment, these proposed techniques are tested with the signals captured from transmission line panels. Further, to aid these PQ disturbance detection, different types of real time fault signals are also characterized with these aforementioned approaches. |
| Keywords: | - |
| Cite Article: | "Detection and classification of Real Time Power Quality Disturbance Signals with HMMs incorporating with SGWT Features", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.730 - 742, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1805112.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1805112 Registration ID:180267 Published In: Volume 3 Issue 6, June-2018 DOI (Digital Object Identifier): Page No: 730 - 742 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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