Differential Diagnosis Based on Multivariable Monitoring to Assess Induction Machine Rotor Conditions

Multivariable supervision systems for online monitoring of induction motors allow large versatility and diagnosis robustness. As regards rotor faults, the diagnostic procedure based on sideband current components may fail due to the presence of interbar currents that reduce the degree of rotor asymm...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2008-12, Vol.55 (12), p.4156-4166
Main Authors: Concari, C., Franceschini, G., Tassoni, C.
Format: Article
Language:English
Subjects:
Condition monitoring
Diagnosis
Diagnostic systems
Electromagnetic forces
Electromagnetic induction
Faults
Induction machines
Induction motors
Monitoring
motor current signature analysis (MCSA)
Motors
Multivariable
Preventive maintenance
Robustness
Rotors
Sidebands
Signal detection
Stator cores
stray flux
Vibration
vibrations
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Multivariable supervision systems for online monitoring of induction motors allow large versatility and diagnosis robustness. As regards rotor faults, the diagnostic procedure based on sideband current components may fail due to the presence of interbar currents that reduce the degree of rotor asymmetry and, thus, the amplitude of these spectral components. On the other hand, the interbar currents produce core vibrations in the axial direction; these vibrations can be detected using a suitable vibration sensor. In this paper, a differential fault analysis based on traditional motor current signature analysis (MCSA) and on radial and axial vibration monitoring is proposed to discern cases in which the presence of interbar currents decreases the sensitivity of MCSA. The features of stator currents and of radial and axial core vibration signals are investigated in order to increase the reliability of the diagnostic system. Moreover, to explore the possibility of obtaining further information, stray flux signals are taken into account.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2008.2003212