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Title:Diagnostika in prognostika elektromehanskih sklopov na podlagi mehanskih, električnih, vibracijskih in akustičnih signalov : magistrsko delo
Authors:ID Mlinarič, Jernej (Author)
ID Petrun, Martin (Mentor) More about this mentor... New window
ID Belšak, Aleš (Mentor) More about this mentor... New window
ID Vrančić, Damir (Co-mentor)
Files:.pdf MAG_Mlinaric_Jernej_2020.pdf (4,47 MB)
MD5: A77A5C18B66EE3F7EDB7C4D9E507E485
PID: 20.500.12556/dkum/7f810917-449e-4ec0-ad7a-56099881e01a
 
Language:Slovenian
Work type:Master's thesis/paper (mb22)
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen te magistrske naloge je razviti pametni sklop elektromotor-gonilo, ki bo zmožen samostojno postaviti diagnostiko delovanja ter na podlagi izmerjenih vibracij napovedati trend delovanja oz. prognostiko. To delo obsega ustrezno izbiro potrebnih senzorjev in podporne elektronike, njihovo ustrezno integracijo v sklop ter pripravo programa za zajemanje signalov in njihovo obdelavo, kar vključuje ustrezno filtracijo in obdelavo izmerjenih veličin ter njihovo shranjevanje v ustrezen format in datoteko. Naloga obravnava tudi vzpostavitev internetnega strežnika, kjer se objavljajo rezultati meritev, torej diagnostika sklopa in njegova prognostika oz. trend delovanja. Internetni strežnik je namenjen tudi alarmiranju uporabnika o kritičnem stanju sklopa.
Keywords:GOSTOP, pametne tovarne, trifazni sinhronski motor s trajnimi magneti, planetno gonilo, merjenje vibracij, prognostika in diagnostika sklopa, django, nizkopasovni filtri, pasovno prepustni filtri
Year of publishing:2020
Place of performance:Maribor
Publisher:[J. Mlinarič]
Number of pages:85 f.
Source:Maribor
PID:20.500.12556/DKUM-77124 New window
UDC:681.518.54:621.313.323(043.2)
COBISS.SI-ID:38350595 New window
NUK URN:URN:SI:UM:DK:97KIY1YM
Publication date in DKUM:02.11.2020
Views:433
Downloads:153
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.08.2020

Secondary language

Language:English
Title:Diagnostics and prognostics of electromechanical systems based on mechanical, electrical, vibrational and acoustic signals
Abstract:The purpose of masters’ thesis is to develop the smart system electromotor-gearbox, which can make a diagnostic and prognostics of gearbox health based on the measured vibrations. The thesis encompasses the selection of sensors and support electronics, integration into the measuring system as well as the software required for sampling, processing and filtering of the including signals including saving the values into appropriate file format. The thesis also includes developing web server for displaying diagnostics and prognostics results including alarming the user in case of critical state of the system.
Keywords:GOSTOP, smart factories, three phase permanent magnet synchronous motor, planetary gear, measuring of vibrations, prognostics and diagnostics of the system, Django, lowpass filter, band-pass filter


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