Compressive sensing based spinning mode detection with in-duct microphone array

Nonconvex L1/2 Minimization Based Compressive Sensing Approach for Duct Azimuthal Mode Detection

AIAA Journal ◽

10.2514/1.j059341 ◽

2020 ◽

Vol 58 (9) ◽

pp. 3932-3946

Author(s):

Baohong Bai ◽

Xiaodong Li ◽

Tao Zhang ◽

Dakai Lin

Keyword(s):

Compressive Sensing ◽

Azimuthal Mode ◽

Mode Detection

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Compressive sensing with a spherical microphone array

The Journal of the Acoustical Society of America ◽

10.1121/1.4942546 ◽

2016 ◽

Vol 139 (2) ◽

pp. EL45-EL49 ◽

Cited By ~ 25

Author(s):

Efren Fernandez-Grande ◽

Angeliki Xenaki

Keyword(s):

Compressive Sensing ◽

Microphone Array

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Compressive Sensing Approach for Aeroengine Fan Noise Mode Detection

Volume 2B: Turbomachinery ◽

10.1115/gt2018-75141 ◽

2018 ◽

Author(s):

Huanxian Bu ◽

Wenjun Yu ◽

Xun Huang

Keyword(s):

Compressive Sensing ◽

Sensor Array ◽

Wind Tunnel Test ◽

Test Method ◽

Fan Noise ◽

Noise Interference ◽

Mode Detection ◽

Flow Speeds ◽

Noise Test ◽

Set Up

To further simplify the sensor array set-ups and improve the mode detection capability for the aeroengine fan noise test, a new compressive sensing based methodology has been proposed. This paper reports the details of the validated aeroengine fan noise test method and the wind tunnel test results for the validation. The experimental set-up consists of a transition duct to the open jet, a mode synthesizer to generate different modes of characteristic fan noise, and a sensor array to conduct mode detection in the presence of background flow speeds and background noise interference. The main attention is primarily focused on the examination of the associated reconstruction accuracy and probability of success for spinning mode detection. The testing results clearly show the potential capability of the proposed new testing method for aeroengine tests in a practical testing facility.

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