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Computational Complexity
Digital Signal Processor
Discrete Wavelet Transform
Experimental Research
Power Quality
Signal Processing
Spectral Analysis
Fourier Transform
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Estimator-analyzer of power quality: Part I – Methods and algorithms
Estimator-analyzer of power quality: Part I – Methods and algorithms,10.1016/j.measurement.2010.09.049,Measurement,Tomasz Tarasiuk
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Estimator-analyzer of power quality: Part I – Methods and algorithms
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Citations: 2
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Tomasz Tarasiuk
The paper presents original methods and algorithms of measurement of
power quality
parameters which were implemented in a new measurement device called an estimator-analyzer of power quality. The main idea was to overcome the shortcomings of current
power quality
analyzers, namely sensitivity to fast fluctuations of input signal parameters. This was attained with regard to the algorithm’s overall computational complexity. Complementary application of
discrete wavelet transform
(DWT) with Fourier transforms and chirp z-transform (CZT) was proposed for the aim. Next, a new concept of estimator mode was devised. It consists in multistage
signal processing
and applied methods depending on input signal character – its frequency and existing waveform distortions – as well as the chosen set of reference parameters. It further improves device performance in terms of time of computation. Description of the estimator-analyzer hardware and results of
experimental research
will be presented in the second part of the paper.
Journal:
Measurement
, vol. 44, no. 1, pp. 238-247, 2011
DOI:
10.1016/j.measurement.2010.09.049
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