Transactions of FAMENA, Vol. 41 No. 2, 2017.
Original scientific paper
https://doi.org/10.21278/TOF.41207
An Investigation Into Fault Diagnosis in a Rotor-Bearing System with Dampers Used in Centrifugal Milk Separators
Vladas Vekteris
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Andrius Trumpa
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Vytautas Turla
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Nikolaj Šešok
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Igor Iljin
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Vadim Mokšin
orcid.org/0000-0002-7786-7150
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Artūras Kilikevičius
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Arūnas Jakštas
; Vilnius Gediminas Technical University, Faculty of Mechanics, Vilnius, Lithuania
Jonas Kleiza
; Vilnius Gediminas Technical University, Faculty of Fundamental Sciences, Vilnius, Lithuania
Abstract
This paper deals with the problems encountered in the fault diagnosis in damped rotor-bearing systems used in centrifugal milk separators. It is shown that direct bearing vibration measurements are more reliable than indirect (through rotor housing) vibration measurements. However, in most cases it is not possible to measure bearing vibrations directly. The factors causing large diagnostic measurement errors, such as the influence of the vibration damping system, step-up gear and electric motor noise are discussed in the paper. It is established that vibration measurements of the damping system are noninformative and cannot be used to diagnose faults in bearings. It is proposed to use the vibration spectra correlation to predict bearing failures in rotor-bearing systems of this type.
Keywords
centrifugal milk separator; bearing fault diagnosis; vibration signal analysis; correlation
Hrčak ID:
183703
URI
Publication date:
24.7.2017.
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