Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
A novel approach for detection and classification of power quality (PQ) disturbances is proposed. The distorted waveforms (PQ events) are generated based on the IEEE 1159 standard, captured with a sampling rate of 20 kHz and de-noised using discrete wavelet transform (DWT) to obtain signals with hig...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Institution of Engineering and Technology
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/17635 |