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Identifikacija napak elektronsko komutiranih puhal na podlagi meritev zvočnega tlaka in pospeška
ID Čemažar, Gašper (Author), ID Slavič, Janko (Mentor) More about this mentor... This link opens in a new window

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Abstract
V tem delu so predstavljene najpogostejše napake v proizvodnem procesu elektronsko komutiranega industrijskega puhala. Predstavimo tudi elementarne vire hrupa in vibracij puhala. Osredotočimo se na mehanski vir hrupa, ki nastane kot posledica strukturnih vibracij ležajev. Opišemo tudi metode za odkrivanje napak na ležajih. Za identifikacijo napak na ležajih uporabimo Hilbertovo transformacijo signala zvočnega tlaka in pospeškov vibracij, s katero dobimo ovojnico signala. Princip delovanja analize ovojnice najprej preverimo s sintetičnim eksperimentom simulirane napake na ležaju. Z analizo ovojnice smo uspešno identificirali tipične frekvence poškodovanih ležajev puhala tako na podlagi pospeškov kot tudi zvočnega tlaka.

Language:Slovenian
Keywords:ležaji, EC puhalo, vibracije, zvočni tlak, analiza ovojnice, Hilbertova transformacija
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:91595011
Publisher:[G. Čemažar]
Year:2021
Number of pages:XXVI, 70 str.
PID:20.500.12556/RUL-134128 This link opens in a new window
UDC:621.822:621.63:534(043.2)
COBISS.SI-ID:91595011 This link opens in a new window
Publication date in RUL:24.12.2021
Views:609
Downloads:63
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Secondary language

Language:English
Title:Fault identification of electronically commutated blowers based measurement of sound pressure and acceleration
Abstract:
This work presents the most common errors in the production of electronically commutated blowers. Elementary sources of noise and vibration are described as a more complex source of a blower’s noise. The main focus is on mechanical sources of noise and their identification as a consecuence of structural vibrations of the bearings. To identify bearing error, Hilbert transform of sound pressure and acceleration signal is used, which results in an envelope of a signal. The principle of envelope analysis is first verified by a synthetic experiment of simulated bearing failure. By envelope analysis, we successfully identified typical frequencies of damaged bearings based on both accelerations and sound pressure.

Keywords:bearings, EC blower, vibrations, sound pressure, envelope analysis, Hilbert transform

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