Helicopter Noise Source Separation Using an Order Tracking Filter

Rachaprolu, Joel Sundar; Greenwood, Eric; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; Pennsylvania State University. Department of Aerospace Engineering

doi:10.4050/F-0078-2022-17433

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Helicopter Noise Source Separation Using an Order Tracking Filter

2023-08-01
By Rachaprolu, Joel Sundar ; Greenwood, Eric

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Creators:

Rachaprolu, Joel Sundar ; Greenwood, Eric

Rachaprolu, Joel Sundar ; Greenwood, Eric Less -
Corporate Creators:

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Pennsylvania State University. Department of Aerospace Engineering

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Pennsylvania State University. Department of Aerospace Engineering Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

[+]

Acoustic Emission Aircraft Noise ASCENT Helicopters Signals Sound
DOI:

https://doi.org/10.4050/F-0078-2022-17433
Resource Type:

Proceedings
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Edition:

Conference: Vertical Flight Society 78th Annual Forum at Fort Worth, TX
Corporate Publisher:

Vertical Flight Society
Abstract:

Due to the importance of understanding the aeroacoustics of rotorcraft with continually changing noise sources, this paper presents a new technique for source separation from ground-based acoustic measurements. The source separation process is based on combining a time-domain de-Dopplerization method with the Vold-Kalman (VK) order tracking filter approach. This process can extract rotor harmonic noise even when the sources are continuously changing with time, including impulsive events such as Blade Vortex Interaction (BVI) noise. The advantage of this approach over traditional methods such as harmonic averaging is that the phase and amplitude relationship of acoustic signals is preserved throughout the extraction process. The approach is applied to the measured acoustic data from a Bell 430 helicopter. The measured data were separated into main rotor harmonic, tail rotor harmonic, and broadband residual components. For steady-state conditions, the extracted components could be de-propagated to form acoustic spheres showing the directivity of the separated main and tail rotor components. The source separation process was also applied to a maneuvering flight condition. Each component has different pulse shapes and directivity trends, consistent with aeroacoustic theory.
Content Notes:

This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Rachaprolu, J.S., & Eric Greenwood, E. (2022). Helicopter Noise Source Separation using an Order Tracking Filter. In 78th Vertical Flight Society Annual Forum and Technology Display, FORUM 2022 – Fort Worth, May 10-12. https://doi.org/10.4050/F-0078-2022-17433
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Federal Aviation Administration
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urn:sha256:30a821cd7a13b7c404c2397883ab22641110b0356da7432949a7e7e110b29dff
Download URL:

https://rosap.ntl.bts.gov/view/dot/72623/dot_72623_DS1.pdf
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Helicopter Noise Source Separation Using an Order Tracking Filter

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