<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Wavelet Transform (WT) is a powerful technique of signal processing, its applications in power systems have been increasing to evaluate power system conditions, such as faults, switching transients, power quality issues, among others. Electromagnetic transients in power systems are due to changes in the network configuration, producing non-periodic signals, which have to be identified to avoid power outages in normal operation or transient conditions. In this paper a methodology to develop a new adaptive mother wavelet for electromagnetic transient analysis is proposed. Classification is carried out with an innovative technique based on adaptive wavelets, where filter bank coefficients will be adapted until a discriminant criterion is optimized. Then, its corresponding filter coefficients will be used to get the new mother wavelet, named wavelet ET, which allowed to identify and to distinguish the high frequency information produced by different electromagnetic transients.</p></abstract>

Wavelet Transform (WT) is a powerful technique of signal processing, its applications in power systems have been increasing to evaluate power system conditions, such as faults, switching transients, power quality issues, among others. Electromagnetic transients in power systems are due to changes in the network configuration, producing non-periodic signals, which have to be identified to avoid power outages in normal operation or transient conditions. In this paper a methodology to develop a new adaptive mother wavelet for electromagnetic transient analysis is proposed. Classification is carried out with an innovative technique based on adaptive wavelets, where filter bank coefficients will be adapted until a discriminant criterion is optimized. Then, its corresponding filter coefficients will be used to get the new mother wavelet, named wavelet ET, which allowed to identify and to distinguish the high frequency information produced by different electromagnetic transients.

A New Adaptive Mother Wavelet for Electromagnetic Transient Analysis

Universidad Autónoma de Nuevo León (UANL), Monterrey, N.L., México

Universidad Nacional de Colombia, Sede Bogota, Colombia

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A New Adaptive Mother Wavelet for Electromagnetic Transient Analysis"}

Wavelet Transform (WT) is a powerful technique of signal processing, its applications in power systems have been increasing to evaluate power system...

A New Adaptive Mother Wavelet for Electromagnetic Transient Analysis

Online veröffentlicht: 17. März 2016

Seitenbereich: 48 - 55

Eingereicht: 27. März 2015

DOI: https://doi.org/10.1515/jee-2016-0007

Schlüsselwörter
wavelet transforms, mother wavelet, adaptive wavelets, electromagnetic transients, signal processing

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A New Adaptive Mother Wavelet for Electromagnetic Transient Analysis

Online veröffentlicht: 17. März 2016

Seitenbereich: 48 - 55

Eingereicht: 27. März 2015

DOI: https://doi.org/10.1515/jee-2016-0007

Schlüsselwörterwavelet transforms, mother wavelet, adaptive wavelets, electromagnetic transients, signal processing

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
wavelet transforms, mother wavelet, adaptive wavelets, electromagnetic transients, signal processing