• DocumentCode
    2717544
  • Title

    Voltage and frequency time series analysis improvements in transforming data from quality survey into information

  • Author

    Apetrei, Dan ; Silvas, Ioan ; Chicco, Gianfranco ; Neurohr, Ralf ; Albu, Mihaela ; Postolache, Petru

  • Author_Institution
    DCE, SC Electr. SA, Bucharest, Romania
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    The paper investigates the nature of voltage and frequency time series. The analysis is based on long term half cycle survey fulfilled with dedicated IEC 61000-4-30 class A equipment. The aim of our investigation is to improve the usefulness of half cycle data gathered in measurement campaigns. In order to do this, IEC 61000-4-30 requirements are analyzed with respect to the concept of data, information, knowledge pyramid. We present one simple way to improve the usefulness of data by drawing boxplot charts instead of using aggregated values as described in the standard. Second investigation is basic patterns identification used in order to better describe frequency. In the end, the hypotheses of fractal behaviour of voltage/frequency time series is tested by calculating Hurst exponent for different periods of time.
  • Keywords
    Data mining; Data processing; Frequency measurement; IEC standards; Information analysis; Measurement standards; Monitoring; Power quality; Time series analysis; Voltage; Hurst exponent; IEC 61000-4-30; boxplot; frequency; pattern identification; voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
  • Conference_Location
    Prague, Czech Republic
  • Print_ISBN
    978-1-4244-5370-2
  • Electronic_ISBN
    978-1-4244-5371-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2010.5489989
  • Filename
    5489989