Title: Dynamic eccentricity fault diagnosis in induction motors using finite element method and experimental tests

Authors: Ahcene Bouzida; Radia Abdelli; Omar Touhami; Abderrazak Aibeche

Addresses: Faculty of Engineering Sciences (FSI), University M'Hamed Bougara of Boumerdes (UMBB), 35000 Boumerdes, Algeria ' Faculty of Technologies, Abderrahmane Mira Université of Bejaia, 06000 Bejaia, Algeria ' National Polytechnic School of Algiers, 16200 Algiers, Algérie ' Applied Automation Laboratory (LAA), Department of Automation, Faculty of Hydrocarbons and Chemistry, University M'Hamed Bougara of Boumerdes (UMBB), 35000 Boumerdes, Algeria

Abstract: This paper presents the dynamic eccentricity (DE) in the squirrel cage induction machine obtained by the simulation using finite element method (FEM) and the experimental tests. Motor current signature analysis (MCSA) through the power spectral density (PSD) is used to monitor the low frequency components related to the rotor faults. In order to generalise the study, a comparison was performed between faulty machines and healthy, under different load conditions. The experimental tests show the encountered difficulties in the detection of the dynamic eccentricity under various load conditions because the spectral representation shows the existence of low frequency components for the healthy case, which are superimposed with the indicator components. These low frequency components offer an alternative way to the monitoring of eccentricity air-gap when the load is balanced.

Keywords: finite element method; FEM; dynamic eccentricity; induction motor; diagnostic; motor current signature analysis; MCSA.

DOI: 10.1504/IJIED.2017.087610

International Journal of Industrial Electronics and Drives, 2017 Vol.3 No.4, pp.199 - 209

Received: 28 Feb 2017
Accepted: 23 Apr 2017
Published online: 23 Oct 2017 *

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