Szczegóły publikacji

Opis bibliograficzny

Development of vibration spectrum analyzer using the Raspberry Pi microcomputer and 3-axis digital MEMS accelerometer ADXL345 / Marek IWANIEC, Andriy Holovatyy, Vasyl Teslyuk, Mykhaylo Lobur, Kostyantyn Kolesnyk, Marta Mashevska // W: MEMSTECH 2017 [Dokument elektroniczny] : 2017 XIIIth international conference : perspective technologies and methods in MEMS design : Polyana[-Svalyava (Zakarpattya), Ukraine], April 20–23, 2017 : proceedings = Perspektivnî tehnologìï ì metodi proektruvannâ MEMC (MEMSTECH) : materìali XIII mižnarodnoï naukovo-tehnìčnoï konferencìï : 20–23 kvìtnâ, Polâna, Ukraïna / Ministry of Education and Science of Ukraine, Lviv Polytechnic National University, Ukraine, IEEE MTT/ED/AP/CPMT/SSC West Ukraine Chapter. — Dane tekstowe. — Lviv : [IEEE], 2017. — Dod. ISBN: 978-1-5386-4001-2 (electronic), 978-1-5386-4002-9 (print on demand). — ISBN: 978-1-5386-4000-5. — S. 25–29. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 29, Abstr.


Autorzy (6)

  • AGHIwaniec Marek
  • Holovatyy Andriy
  • Teslyuk Vasyl
  • Lobur Mykhaylo
  • Kolesnyk Kostyantyn
  • Mashevska Marta

Słowa kluczowe

3-axis MEMS accelerometer ADXL345DFTspectral analysisvibration accelerationsingle board Raspberry Pi microcomputervibration acceleration monitoring and spectrum analysis systemCNCdiscrete Fourier transformcomputer numerical control

Dane bibliometryczne

ID BaDAP106518
Data dodania do BaDAP2017-08-28
Tekst źródłowyURL
DOI10.1109/MEMSTECH.2017.7937525
Rok publikacji2017
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)
Konferencja2017 XIIIth international conference : perspective technologies and methods in MEMS design

Abstract

In the paper, the spectrum analyzer of vibration accelerations using the Raspberry Pi microcomputer and 3-axis digital MEMS ADXL345 accelerometer has been developed. The system includes accelerometer driver for Raspberry Pi, software for data acquiring and processing from the acceleration sensor, conversion of the vibration acceleration signals from time domain into frequency domain using DFT, graph plotting of the vibration accelerations and their spectra.

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