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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Umarikar, Amod C. | en_US |
dc.contributor.author | Jain, Trapti | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:39:06Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:39:06Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Thirumala, K., Umarikar, A. C., & Jain, T. (2018). DSP implementation of the empirical wavelet transform for measurement of power quality indices. Paper presented at the 2017 7th International Conference on Power Systems, ICPS 2017, 665-670. doi:10.1109/ICPES.2017.8387375 | en_US |
dc.identifier.isbn | 9781538617892 | - |
dc.identifier.other | EID(2-s2.0-85049922275) | - |
dc.identifier.uri | https://doi.org/10.1109/ICPES.2017.8387375 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/5243 | - |
dc.description.abstract | The hardware implementation of Empirical Wavelet Transform (EWT) for the estimation of the IEEE Standard 1459-2000 definitions is presented in this paper. The estimation of single-phase power quality indices (PQIs) using the EWT technique is implemented on a floating point digital signal processor TMS320F28377S. The EWT decomposes the signal into its frequency components adaptively; however, the estimation of PQIs require only the fundamental and non-fundamental components. Therefore, the algorithm aims to extract only the fundamental frequency component accurately by designing an adaptive wavelet filter. The accuracy and practicality of the EWT-based PQIs measurement have been verified by testing on practical signals acquired in the laboratory. Experimental results of the DSP-based PQIs are compared with the results obtained from MATLAB in terms of computational time as well as accuracy. © 2017 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | 2017 7th International Conference on Power Systems, ICPS 2017 | en_US |
dc.subject | Digital arithmetic | en_US |
dc.subject | Digital signal processors | en_US |
dc.subject | Frequency estimation | en_US |
dc.subject | Hardware | en_US |
dc.subject | IEEE Standards | en_US |
dc.subject | Power quality | en_US |
dc.subject | Wavelet transforms | en_US |
dc.subject | Digital Signal Processor (DSP) | en_US |
dc.subject | Empirical wavelet transform (EWT) | en_US |
dc.subject | Frequency components | en_US |
dc.subject | Fundamental component | en_US |
dc.subject | Fundamental frequencies | en_US |
dc.subject | Hardware implementations | en_US |
dc.subject | IEEE Standard 1459-2000 | en_US |
dc.subject | Power quality indices | en_US |
dc.subject | Digital signal processing | en_US |
dc.title | DSP implementation of the empirical wavelet transform for measurement of power quality indices | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Department of Electrical Engineering |
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