Comparison of Small Rotor Tonal and Random Noise Decomposition Methods-Reference-Cited by-同舟云学术

Comparison of Small Rotor Tonal and Random Noise Decomposition Methods

Published:2024-08-23 Issue: Volume: Page:
ISSN:1839-2571
Container-title:Acoustics Australia
language:en
Short-container-title:Acoust Aust

Author:

Malkki Justin^ORCID,Yauwenas Yendrew^ORCID,Doolan Con^ORCID,Moreau Danielle^ORCID

Abstract

AbstractThis paper examines and compares methods of separating tonal and broadband components of the noise generated by small rotors as commonly found on small unmanned aerial systems (sUAS). Time synchronous analysis (TSA) methods with varying averaging algorithms, such as ensemble averaging (EA), exponential weighted moving averaging (EWMA) and Kalman filter averaging (KFA), are compared against themselves and against a cross-correlation-based method. The decomposition methods are used on noise measurements of a small isolated rotor under static operation and edgewise flight conditions at 10 m/s in the UNSW anechoic wind tunnel (UAT). The best method for isolating tones is TSA-EWMA and for isolating the broadband spectrum of noise is the cross-correlation method, based on the spectral reconstruction of the experimental data.

Funder

University of New South Wales

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40857-024-00333-z.pdf

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