Vol. 8 Issue 4
Year: 2015
Issue:Apr-Jun
Title:SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals
Author Name:Anand Deshmukh and S.G. Ankaliki
Synopsis:
Power quality analysis is a classical problem in Electrical Engineering, since the electrical signal contains transients' disturbances, that can be caused for diverse reasons: Switching of electrical motors, capacitor banks, etc. For improving the power quality knowledge, it is necessary to analyze efficiently the different disturbances. The objective is to identify the transients in real time, to be corrected immediately. One of the most important issues in power quality problems is, how to detect and classify disturbance waveforms automatically in an efficient manner. Automatic disturbance recognition can be carried out with the help of a wavelet transform. The approach proposed in this paper is robust in detecting and localizing a wide range of power disturbances such as fast voltage fluctuations, short and long duration voltage variations, transients, noise and harmonic distortion.
Year: 2015
Issue:Apr-Jun
Title:SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals
Author Name:Anand Deshmukh and S.G. Ankaliki
Synopsis:
Power quality analysis is a classical problem in Electrical Engineering, since the electrical signal contains transients' disturbances, that can be caused for diverse reasons: Switching of electrical motors, capacitor banks, etc. For improving the power quality knowledge, it is necessary to analyze efficiently the different disturbances. The objective is to identify the transients in real time, to be corrected immediately. One of the most important issues in power quality problems is, how to detect and classify disturbance waveforms automatically in an efficient manner. Automatic disturbance recognition can be carried out with the help of a wavelet transform. The approach proposed in this paper is robust in detecting and localizing a wide range of power disturbances such as fast voltage fluctuations, short and long duration voltage variations, transients, noise and harmonic distortion.
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