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Wavelet- support vector machine approach for classification of power quality disturbances.
| Content Provider | CiteSeerX |
|---|---|
| Author | Karthikeyan, M. Malathi, V. |
| Abstract | Abstract — This paper presents a wavelet transform and Support Vector Machine (SVM) based algorithm for classification of power quality (PQ) disturbances. The features extracted through the wavelet transform are trained by a SVM for classification of power quality disturbances. Five types of disturbances are considered for the classification problem. The simulation results reveal that the combination of wavelet transform and SVM can effectively classify different PQ events. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Power Quality Disturbance Wavelet Support Vector Machine Approach Wavelet Transform Classification Problem Simulation Result Power Quality Support Vector Machine Different Pq Event |
| Content Type | Text |
| Resource Type | Article |
