Acoustic monitoring of dust particles in the inlet of a dust extractor

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URL

Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis

Authors

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, Simo

Thesis advisor

Södergård, Tomas

Keywords

dust detection, piezoelectric senso, dust monitoring, dust extractor monitoring, machine learning

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202310156437

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC