Logo
User: Guest  Login
Authors:
Wang, Guanzhong; Ruser, Heinrich; Schade, Julian; Passig, Johannes; Adam, Thomas; Dollinger, Günther; Zimmermann, Ralf 
Document type:
Zeitschriftenartikel / Journal Article 
Title:
1D-CNN network based real-time aerosol particle classification with single-particle mass spectrometry 
Journal:
IEEE Sensors Letters 
Volume:
Issue:
11 
Year:
2023 
Pages from - to:
6007904 
Language:
Englisch 
Abstract:
Single-particle mass spectrometry (SPMS) is a measurement technique that aims to identify the chemical composition of individual airborne aerosol particles (PM 1 or PM 2.5) in real-time. One-dimensional (1D) spectral data of aerosol particles generated by SPMS carry rich information about the chemical composition associated with the sources of the particles, e.g. traffic and ship emissions, biomass burning, etc. Accurate classification of aerosol particles is essential to understand their source...    »
 
ISSN:
2475-1472 
Article ID:
6007904 
Department:
Fakultät für Luft- und Raumfahrttechnik; Fakultät für Maschinenbau 
Institute:
LRT 2 - Institut für Angewandte Physik und Messtechnik; MB 6 - Institut für Chemie und Umwelttechnik 
Chair:
Dollinger, Günther ; Adam, Thomas 
Research Hub UniBw M:
dtec.bw 
Project:
LUKAS 
Open Access yes or no?:
Ja / Yes 
Type of OA license:
CC BY 4.0 
Miscellaneous:
Die Veröffentlichung wurde finanziell unterstützt durch die Universität der Bundeswehr München (Publish-and-Read-Vertrag).