Modal analysis of in-duct fan broadband noise via an iterative Bayesian inverse approach

A Pereira, MC Jacob - Journal of Sound and Vibration, 2022 - Elsevier
An advanced duct microphone array analysis based on a user friendly iterative Bayesian
Inverse Approach (iBIA) has been successfully applied to assess the modal content and the …

[HTML][HTML] A physics-informed neural network approach for nearfield acoustic holography

M Olivieri, M Pezzoli, F Antonacci, A Sarti - Sensors, 2021 - mdpi.com
In this manuscript, we describe a novel methodology for nearfield acoustic holography
(NAH). The proposed technique is based on convolutional neural networks, with …

The acoustic inverse problem in the framework of alternating direction method of multipliers

L Yu, J Antoni, H Zhao, Q Guo, R Wang… - Mechanical Systems and …, 2021 - Elsevier
Acoustic imaging is an important technique for sound source identification which is widely
used in noise control and fault detection. It can be described as a method for reconstructing …

Sparsity-enhanced equivalent source method for acoustic source reconstruction via the generalized minimax-concave penalty

R Wang, C Zhang, L Yu, J Li - Mechanical Systems and Signal Processing, 2022 - Elsevier
Abstract The Equivalent Source Method (ESM) is a powerful technique for acoustic source
reconstruction, which has been widely used in noise control and machinery fault detection …

Complex approximate message passing equivalent source method for sparse acoustic source reconstruction

X Luo, L Yu, M Li, R Wang, H Yu - Mechanical Systems and Signal …, 2024 - Elsevier
Acoustic source reconstruction techniques are an essential technical basis for noise source
identification and fault diagnosis. How to computationally efficiently obtain the accurate …

Grid-moving equivalent source method in a probability framework for the transformer discharge fault localization

L Yu, C Zhang, R Wang, G Yuan, X Wang - Measurement, 2022 - Elsevier
The transformer discharge fault localization is important for the power supply reliability. The
audible sound radiated by the transformer can reflect the extensive operation information …

Localization of cyclostationary acoustic sources via cyclostationary beamforming and its high spatial resolution implementation

C Zhang, R Wang, L Yu, Y **ao, Q Guo, H Ji - Mechanical Systems and …, 2023 - Elsevier
The localization of cyclostationary sound sources is important for rotating machinery noise
source identification and fault diagnosis. Cyclostationary sound sources are a special class …

A fast and robust localization method for low-frequency acoustic source: Variational Bayesian inference based on nonsynchronous array measurements

N Chu, Y Ning, L Yu, Q Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a variational Bayesian (VB) inference based on the nonsynchronous
array measurement (NAM)(VB-NAM) method in order to obtain the fast and robust …

Achieving the sparse acoustical holography via the sparse bayesian learning

L Yu, Z Li, N Chu, A Mohammad-Djafari, Q Guo… - Applied Acoustics, 2022 - Elsevier
The localization accuracy and acoustic quantification are the leading indicators of acoustic
localization. It is difficult to reconstruct the acoustic field completely as the number of sources …

[HTML][HTML] Achieving 3D beamforming by non-synchronous microphone array measurements

L Yu, Q Guo, N Chu, R Wang - Sensors, 2020 - mdpi.com
Beamforming technology is an essential method in acoustic imaging or reconstruction,
which has been widely used in sound source localization and noise reduction. The …