Localization and Sound Power Estimation of Sound Sources in Industrial Plants using the Sound Field Scanning Method

Reducing sound emissions from industrial plants requires an initial step of localizing key contributing sources. Acoustic cameras are pivotal for quickly identifying these sources, yet challenges persist in low-frequency source localization and presenting results for effective impact assessment. This contribution introduces the Sound Field Scanning technology, utilizing a rotating linear microphone array covering a measurement surface with diameter of 2.5 meters for low-frequency source localization from 125Hz. The underlying sound imaging method compensates for Doppler distortions in the moving microphone signals and evaluates coherence spectra with a non-moving reference microphone to compute an acoustic image. For analysis, a method quantifying sound power contributions from specific regions in the optical image is presented. Comparing sound power metrics of the full optical field of view with metrics of regions of interest enables users to quickly rank source contributions and assess the impact of reducing these contributions on total sound power. In complex scenarios, preliminary investigations can be streamlined with a few measurements from diverse angles, expediting the problem-solving process with confidence. The method is exemplified through the analysis of sound emissions from a production plant.

Authors

Institutions

Publication Details

Journal
NOISE-CON proceedings
Published
2025-10-22
DOI
https://doi.org/10.3397/in_2025_1070999
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Localization and Sound Power Estimation of Sound Sources in Industrial Plants using the Sound Field Scanning Method

Thomas Rittenschober, Antoine Decloux
NOISE-CON proceedings
Structural Health Monitoring Techniques
article

Localization and Sound Power Estimation of Sound Sources in Industrial Plants using the Sound Field Scanning Method

Thomas Rittenschober, Antoine Decloux
article en

Abstract

Reducing sound emissions from industrial plants requires an initial step of localizing key contributing sources. Acoustic cameras are pivotal for quickly identifying these sources, yet challenges persist in low-frequency source localization and presenting results for effective impact assessment. This contribution introduces the Sound Field Scanning technology, utilizing a rotating linear microphone array covering a measurement surface with diameter of 2.5 meters for low-frequency source localization from 125Hz. The underlying sound imaging method compensates for Doppler distortions in the moving microphone signals and evaluates coherence spectra with a non-moving reference microphone to compute an acoustic image. For analysis, a method quantifying sound power contributions from specific regions in the optical image is presented. Comparing sound power metrics of the full optical field of view with metrics of regions of interest enables users to quickly rank source contributions and assess the impact of reducing these contributions on total sound power. In complex scenarios, preliminary investigations can be streamlined with a few measurements from diverse angles, expediting the problem-solving process with confidence. The method is exemplified through the analysis of sound emissions from a production plant.

NOISE-CON proceedingsVol. 272(4)
Seven (CZ)
Openalex Percentile: Top 68%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.