A REVIEW OF ‘CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SVM’
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 7
Abstract
In this paper I have represented a new method for detection and classification of signal defects or disturbances. Before actual classification the database of signal is applied for wavelet transform. Two discrete wavelet transforms filters are used in the classification with feature extraction process. It improves the performance using pair of wavelet transform than single. For the classification of the signal disturbances I have used a support vector machine. For the computational purpose one can use binary decision tree is created and a support vector machine (SVM) classifier is trained for every node of the tree. It can be implemented using binary as well as multiclass classification of SVM.
Authors and Affiliations
Nilesh R. Kekan
Keywords
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