A REVIEW OF ‘CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SVM
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 7)Publication Date: 2015-07-30
Authors : Nilesh R.Kekan; Kishor Wane;
Page : 1121-1125
Keywords : KEYWORDS: signal disturbances; classification; wavelets; support vector machine (SVM).;
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
Other Latest Articles
- EXPERIMENTAL STUDY ON BEHAVIOUR OF FIBER REINFORCED TERNARY BLENDED CONCRETE USING DIFFERENT TESTS
- FAST MEDICAL IMAGE DENOISING USING LATEST GPGPU TECHNOLOGY
- HEXAGONAL FRACTAL ANTENNA ARRAY FOR UWB APPLICATION
- INTEGRAL SOLUTIONS OF THE BINARY QUADRATIC EQUATION
- EFFICIENT BIOMETRIC IRIS RECOGNITION USING GAMMA CORRECTION & HISTOGRAM THRESHOLDING WITH PCA
Last modified: 2015-07-26 19:16:15