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Vibrationsbaserad maskinaktivitetssensor
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
2006 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Vibration based machine activity sensor (English)
Abstract [sv]

I detta projekt undersöker vi om man kan bygga en maskinaktivitetssensor med

hjälp av en enkretsdator som genom en accelerometer mäter en maskins

vibrationer. Sensorn skall generera en statussignal. Accelerometern ger en

mätbar signal baserad på maskinens vibrationer. Enkretsdatorn används för att

sampla, transformera och analysera signalen och generera statusinformation.

Med LabView kan vi spara, studera och analysera olika signaler och olika

transformer. Vi studerar maskinvibrationer i LabView och beslutar att 5 kHz

sampling räcker för att fånga intressanta vibrationer. Vi jämför transformers

egenskaper och beräkningskrav och väljer Fouriertransform som analysmetod.

Vi beräknar att en Atmel ARM SAM7S256 kan utföra uppgiften och

implementerar interruptbaserad signalsampling, frekvensanalys och en

beslutsrutin som resulterar i en utsignal med statusinformation.

Abstract [en]

In this project we examine the possibility to create a machine activity sensor by

a one-chip computer that measures a machines vibrations through an

accelerometer. The sensor shall generate a status signal. The accelerometer is

used to give a measurable signal of a machines vibrations. The one-chip

computer is used to sampel, transform and analyze this signal and generate a

status signal. With LabView we can save, study and analyze different signals

and their different transforms. By studying machine vibrations in LabView we

decide that sampling at 5 kHz is sufficient. By comparing different

transformations in regards to performance and calculation needs we choose

Fast Fourier Transform as analyzing tool. We calculate that a ARM

SAM7S256 can manage the task and implement an interrupt based sampling,

frequency analysis and decision making routine which results in a status signal.

Place, publisher, year, edition, pages
2006. , p. 38
Series
Reports from Växjö University: Mathematics, natural sciences and technology, ISSN 1404-045X ; 06147
Keywords [sv]
vibrationsanalys, fouriertransform, fft, adductor, enkretsdator, atmel, arm
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:vxu:diva-927OAI: oai:DiVA.org:vxu-927DiVA, id: diva2:207253
Uppsok
teknik
Supervisors
Examiners
Available from: 2006-10-23 Created: 2006-10-23 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Citation style
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