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Power quality detection and classification using wavelet-multiresolution signal decomposition
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DOI：10.1109/61.796242.png)
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The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify deferent power quality disturbances. It can also be used to distinguish among similar disturbances.
Keyword:
power quality
wavelet analysis
and multiresolution signal decomposition
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