| Autor: |
Mobley, Frank, Campbell, Steven, Rasband, Reese |
| Předmět: |
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| Zdroj: |
INTER-NOISE & NOISE-CON Congress & Conference Proceedings; 2023, Vol. 266 Issue 2, p1-12, 12p |
| Abstrakt: |
A measurement of one stock and three custom designed propellers was conducted with the United States Air Force Academy. The measurement consisted of a constant radius arc, and a radial array to examine the changes in acoustic levels as a function of distance and angle. Measurement demonstrated that overall level was consistent across all propellers as a function of thrust, but the experimenter's experience was that each propeller possessed different audio attributes that assisted in distinguishing the stock from any of the custom propellers. To adequately explore attributes beyond the propeller's a-weighted level as a function of thrust, a timbre and sound quality analysis were conducted. These auditory feature extraction methods were combined with a fractional octave analysis into a database for machine learning classification analysis. The new baseline is defined by the acoustic roughness, but the other blade designs require additional timbre features to be segregated from the stock propeller. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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