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Time–Frequency Analysis of Experimental Measurements for the Determination of EMI Noise Generators in Power Converters

Electronics (Switzerland), ISSN: 2079-9292, Vol: 11, Issue: 23
2022
  • 2
    Citations
  • 0
    Usage
  • 3
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    2
    • Citation Indexes
      2
  • Captures
    3
  • Mentions
    1
    • News Mentions
      1
      • News
        1

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Reports from Faculty of Engineering Describe Recent Advances in Electronics (Time-Frequency Analysis of Experimental Measurements for the Determination of EMI Noise Generators in Power Converters)

2022 DEC 28 (NewsRx) -- By a News Reporter-Staff News Editor at Electronics Daily -- Current study results on electronics have been published. According to

Article Description

In the context of recent decades in which there has been great development in power electronics systems with increasingly better operating characteristics, the study of the factors that affect the behaviour of these systems in terms of electromagnetic interference (EMI) is mandatory. Within this general perspective, it is essential to know the time and frequency characteristics of the switching signals, as they are the main sources of EMI noise. This work analyses the suitability of different spectral analysis techniques, specifically short-time Fourier transform (STFT) and continuous wavelet transform (CWT), to extract the frequency characteristics of the switching signals of a converter. Thus, a test bench based on a half-bridge was designed as a preliminary step in the development of a model of noise generators. After the analysis of the main parameters of these techniques, a comparison of the results obtained was carried out. It was concluded that both techniques are considered valid and complementary; not only that, but they overcome some limitations of the fast Fourier transform (FFT) as they offer the possibility of determining which are the frequency components associated with different types of events occurring at different times.

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