Mo-SML-01 - Reliable TVOC Sensing: A Lab-to-Field Calibration Approach

Event

EUROSENSORS 2026
2026-09-06 - 2026-09-09
Zurich

Band

Poster

Chapter

Signal Analysis, Machine Learning, Physics-Informed Machine Learning And Artificial Intelligence For Sensing

Author(s)

J. Amann, A. Schütze, C. Bur - Saarland University,Saarbrücken (Germany), S. Schumacher - Institute of Energy and Environmental Technology e.V. (IUTA),Duisburg (Germany)

Pages

688 - 689

DOI

10.5162/eurosensors2026/Mo-SML-01

ISBN

978-3-910600-12-6

Price

free

Abstract

We propose an acoustic method for estimating methane emissions from cattle eructation sounds, based on resonance scaling caused by changes in gas molecular weight. To evaluate this method, we reproduced eructation sounds experimentally and extracted resonance-related components using cepstral analysis. The liftered spectra for N 2 and CO 2 showed similar shapes after frequency scaling, suggesting that the gas molecular weight can be estimated with a 2.9% error.