Acoustic Monitoring of Dust Particles in the Inlet of a Dust Extractor
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Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Author
Date
2023-10-09
Department
Major/Subject
Electronic and Digital Systems
Mcode
ELEC3060
Degree programme
AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)
Language
en
Pages
74
Series
Description
Supervisor
Särkkä, SimoThesis advisor
Södergård, TomasKeywords
dust detection, piezoelectric senso, dust monitoring, dust extractor monitoring, machine learning
