Classification of Power Quality Disturbances Using Wavelets and Support Vector Machine
DOI:
https://doi.org/10.5755/j01.eee.19.2.1213Keywords:
power quality, disturbances, classification, wavelets, support vector machineAbstract
In this paper we present a new method for detection and classification of power quality disturbances. Two discrete wavelet transforms with different wavelet filters are used in the feature extraction process. In this way we eliminate the problem of the selection of the most adequate wavelets in the current methods for classification of power quality disturbances. For the classification of the power disturbances we use a support vector machine. In order to reduce the computational cost of the proposed method, binary decision tree is created and a support vector machine classifier is trained for every node of the tree. The obtained experimental results show high accuracy of the proposed method.Downloads
Published
2013-01-28
How to Cite
Taskovski, D., Milchevski, A., & Kostadinov, D. (2013). Classification of Power Quality Disturbances Using Wavelets and Support Vector Machine. Elektronika Ir Elektrotechnika, 19(2), 25-30. https://doi.org/10.5755/j01.eee.19.2.1213
Issue
Section
ELECTRICAL ENGINEERING
License
Authors retain copyright and grant the journal the right of the first publication with the paper simultaneously licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) licence.
Authors are allowed to enter into separate, additional contractual arrangements for the non-exclusive distribution of the paper published in the journal with an acknowledgement of the initial publication in the journal.
Copyright terms are indicated in the Republic of Lithuania Law on Copyright and Related Rights, Articles 4-37.