Induction Motor Bearing Faults Diagnosis Using Stator Current and Vibration Analysis
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Published:2021-10-29
Issue:4
Volume:65
Page:344-351
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ISSN:2064-5279
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Container-title:Periodica Polytechnica Electrical Engineering and Computer Science
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language:
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Short-container-title:Period. Polytech. Elec. Eng. Comp. Sci.
Author:
Koura Mohamed Boudiaf,Boudinar Ahmed Hamida,Aimer Ameur Fethi,Khodja Mohammed-el-Amine
Abstract
Several researches claim that the vibration technique, widely used in industry, is more efficient compared to the stator current analysis in the diagnosis of mechanical faults. On the other hand, researches show that the current technique is more advantageous especially in the diagnosis of electrical faults, in addition to the simplicity of the sensor positioning. The aim of this paper is to show that both diagnosis techniques can be complementary. For this, a comparative analysis of both diagnosis techniques performances is achieved. To this end, fault diagnosis of rolling element bearings used in induction motors is taken as an example, given the importance of bearings in energy transfer. Experimental results obtained show the complementarity of both techniques and their performances according to the faulty element of bearings.
Publisher
Periodica Polytechnica Budapest University of Technology and Economics
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems,Signal Processing,Software
Cited by
1 articles.
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1. Improvement of Induction Motor Diagnosis using the Kaiser Window Function;2023 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2023 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM);2023-09-01