Usuário(a) Discussão:Armand.Ufrgs

O conteúdo da página não é suportado noutras línguas.
Adicionar tópico
Origem: Wikipédia, a enciclopédia livre.


  ARTICLE REVIEW
                                                                                                         Armand Azonnahin
      An explicit and pragmatic text on a fundamental Harmonics Analysis field,this article, Identification of Harmonics in Inverter using Wavelet Transform, written by Professor A.Edwin Isaac Raj and R. Muthu Raja Lakshmi from Einstein College of Engineering (Tirunelveli in India),aims at  identifying harmonics in inverter using Discrete Wavelet Transform (DWT). The authors present an argument for Students of Electrical and Electronic Engineering to use Discrete Wavelet Transform to identify harmonics in inverter which the authors believe  is essential for finding the fault easily in the electrical system . Muthu Lakshmi and Edwin Raj are keen to point out that the identification of  harmonics in the power system forms the basis in the field of harmonic analysis. My overall impression is that the authors have developed the argument in an objective way while using an appropriate, concise and logical methodology.
        In this article, the authors have relied on “Harmonics Measurement with a Modulated Sliding Discrete Fourier Transform Algorithm” of  Carlos M. Orallo and Mario Benedetti (2014). The authors  contend that the output voltage waveform of an inverter can be compressed by using a Wavelet Transform and from which the harmonics present in the waveform can be identified and that this identification can be  used to find the fault easily. Students of  Electrical and Electronic Engineering would find this article useful for doing simulations with Matlab as would Students of Science and Technology for identifying various categories of power system disturbances. Though lacking informative depth, the article allows to identify clearly harmonics in inverter using wavelet transform .
       The authors have been able to do simulations with Matlab to obtain a signal which includes harmonics and interharmonics  which gives support to the author’s key claim :
                             In this project harmonics in inverter is identified by using Discrete Wavelet Transform                 
                             for a particular frequency and time period. This identification can be used to find the fault  easily.’’
          In summary, I believe that the author’s position -find the solution of one of the biggest  problems in power quality aspects using wavelet transform - has been profoundly developed. Students of  Science, Engineering and Technology may be encouraged to use wavelet transform by identifying a powerful signal processing tool in communications in such areas as, data compression, denoising, reconstruction of high-resolution images, and high-quality speech after reading and understanding this article. In terms of future research, this article could lead to identify the method of finding fault in the electrical system using Discrete Wavelet Transform (DWT).
[1]“
   ↑ Erro de citação: Elemento de fecho </ref> em falta para o elemento <ref>
  1. ISSN:09761353 VOLUME 12 ISSUE 4 -FEBRUARY 2015