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Testing two crackle criteria using modified jet noise waveforms.

S Hales Swift1, Kent L Gee1, Tracianne B Neilsen1

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Summary
This summary is machine-generated.

Jet crackle sound quality is better predicted by analyzing the waveform derivative statistics, not just pressure. This research quantifies crackle using new waveform analysis methods for improved prediction.

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Area of Science:

  • Acoustics
  • Fluid Dynamics
  • Signal Processing

Background:

  • Jet "crackle" is a significant sound quality characteristic.
  • Traditional analysis relies on pressure waveform statistics.
  • Alternative methods using waveform derivatives are proposed.

Purpose of the Study:

  • To evaluate crackle prediction criteria using waveform derivatives.
  • To compare the efficacy of pressure waveform statistics versus derivative statistics in quantifying crackle.

Main Methods:

  • Generation of modified waveforms.
  • Calculation of skewness statistics for both pressure and its derivative.
  • Analysis of resultant waveforms to assess prediction capabilities.

Main Results:

  • Pressure waveform statistics did not directly predict or quantify crackle.
  • Statistics derived from the time derivative of the waveform showed predictive capability for crackle.
  • Waveform modification provided evidence supporting derivative-based analysis.

Conclusions:

  • The time derivative of the jet's pressure waveform is a more effective metric for quantifying crackle.
  • Relying solely on pressure waveform statistics is insufficient for accurate crackle prediction.
  • This study validates derivative-based statistical analysis for jet noise characterization.