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Karakterizacija debalansa rotorja z uporabo MEMS pospeškomerov
ID Ocepek, Domen (Author), ID Boltežar, Miha (Mentor) More about this mentor... This link opens in a new window, ID Čepon, Gregor (Co-mentor)

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PID: 20.500.12556/rul/f2354615-c2cf-4424-8e42-5cafb90791ab

Abstract
Mehanske vibracije so nosilec informacij dinamičnega stanja merjenih strojnih elementov. Poleg zahtevne analize izmerjenih rezultatov je razlog za omejeno izvajanje meritev tudi draga merilna oprema. V sklopu naloge smo želeli ugotoviti, če je mogoče merilno napravo za merjenje vibracij in izvajanje balansiranja rotorjev izdelati iz komponent nižjega cenovnega razreda. Naprava služi zajemu časovnega signala pospeška, ki ga nato procesiramo z programsko kodo, napisano v programskem jeziku Python. Napravo smo umerili ter diagnosticirali in uspešno izvedli balansiranje testnega rotorja.

Language:Slovenian
Keywords:dinamika, merilna oprema, zajem signalov, procesiranje signalov, monitoring vibracij, balansiranje rotorjev, kontrola debalansa
Work type:Bachelor thesis/paper
Organization:FS - Faculty of Mechanical Engineering
Year:2017
PID:20.500.12556/RUL-94498 This link opens in a new window
Publication date in RUL:01.09.2017
Views:1592
Downloads:677
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Secondary language

Language:English
Title:Characterization of rotor imbalance using MEMS accelerometers
Abstract:
Mechanical vibration carries the information, describing dynamic state of measured elements. Besides the complicated analysis of measurement results, the main reason for limited possibilities of measuring dynamic response is the high cost of required equipment. Our objective is to examine the possibility of constructing a low-cost measuring device to perform vibration monitoring and rotor balancing. The device captures acceleration in time domain, the signal is then processed through a code compiled using Python programming language. Based on the calibration of the device we have successfully diagnosed imbalance and performed balancing of a test rotor.

Keywords:dynamics, measuring equipment, measurement, signal processing, vibration monitoring, balancing, imbalance control

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