An Investigation Into Fault Diagnosis in a Rotor-Bearing System with Dampers Used in Centrifugal Milk Separators

Abstract

SummaryThis paper deals with the problems encountered in the fault diagnosis in damped rotorbearing 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.

Investigation of Dynamics of Damped Bearing-Rotor System of Centrifugal Milk Separator

“…1. In terms of fault diagnosis, this bearing-rotor system is difficult to diagnose as it is not possible to measure its vibrations due to the interference of vibration suppression system, which influences measurement results [1,2]. One of the most important tasks of diagnostic simulation is the modelling of real dynamic systems using mathematical models, robust algorithms and computer software.…”

“…Forces caused by unbalance or centrifugal forces are considered as the excitation forces. Bearing-rotor system of modern centrifugal milk separator requires precise and reliable fault diagnostics [1,2]. The centrifugal effect of moving mass (milk), motor, gearbox and the unbalance of the rotor are the main sources of vibration in centrifugal separators.…”

An Improved Bearing Fault Diagnosis Method using One-Dimensional CNN and LSTM

“…However, continuous abrasion resulting from the relative motion between mating surfaces would cause the components' damage, and several studies have shown that the bearing fault is the major source in rotating machinery faults [1]. An effective fault diagnosis method could obtain the healthy condition of bearings and probe the fault patterns, which are also the most challenging tasks in fault diagnosis.…”

Fault Diagnostic System for Centrifugal Milk Separator’s Rotor Bearings with Vibration Isolators

“…In order to obtain data related to the milk separator's rotor bearings condition vibration measurement sensors are used that are attached to the housing of the separator and to the rotor bearing outer ring holder [12][13][14]. Received input signal processing procedure has to be carefully thought out to be able to distinguish vibrations of the new bearing from those of the faulty bearing and to obtain information necessary to detect the fault.…”