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Description of Two-Peak Characteristics in Power Engineering

Received: 24 January 2015     Accepted: 9 February 2015     Published: 3 March 2015
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Abstract

Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.

Published in American Journal of Environmental Protection (Volume 4, Issue 2)
DOI 10.11648/j.ajep.20150402.14
Page(s) 95-100
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Multiresolutional Analysis, Wavelet Analysis, Description, Two-Peak Characteristics

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    Tetiana Lutchyn. (2015). Description of Two-Peak Characteristics in Power Engineering. American Journal of Environmental Protection, 4(2), 95-100. https://doi.org/10.11648/j.ajep.20150402.14

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    ACS Style

    Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am. J. Environ. Prot. 2015, 4(2), 95-100. doi: 10.11648/j.ajep.20150402.14

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    AMA Style

    Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am J Environ Prot. 2015;4(2):95-100. doi: 10.11648/j.ajep.20150402.14

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  • @article{10.11648/j.ajep.20150402.14,
      author = {Tetiana Lutchyn},
      title = {Description of Two-Peak Characteristics in Power Engineering},
      journal = {American Journal of Environmental Protection},
      volume = {4},
      number = {2},
      pages = {95-100},
      doi = {10.11648/j.ajep.20150402.14},
      url = {https://doi.org/10.11648/j.ajep.20150402.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20150402.14},
      abstract = {Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.},
     year = {2015}
    }
    

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    T1  - Description of Two-Peak Characteristics in Power Engineering
    AU  - Tetiana Lutchyn
    Y1  - 2015/03/03
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajep.20150402.14
    DO  - 10.11648/j.ajep.20150402.14
    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
    SP  - 95
    EP  - 100
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20150402.14
    AB  - Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.
    VL  - 4
    IS  - 2
    ER  - 

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Author Information
  • National Technical University of Ukraine "Kyiv Polytechnic Institute”, Institute for Energy Saving and Energy Management, Kyiv, Ukraine

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