Vol.25, No.1, 2025, pp. 141–146
https://doi.org/10.69644/ivk-2025-01-0141

VIBRATION ANALYSIS OF INDUCTION MOTOR FOR BEARING FAULTS DETECTION USING ESPRIT METHOD

Khaled Azouzi1 , Mohamed Kouadria2 , Khier Eddine Dehar3, Mohammed Hadj Meliani4*

1) Faculty of Technology, Hassiba Benbouali University, Chlef, ALGERIA

K. Azouzi https://orcid.org/0000-0003-0279-3123

2) Faculty of Applied Sciences, Ibn Khaldoun University, Tiaret, ALGERIA

M. Kouadria https://orcid.org/0000-0001-8628-9754 

3) University of Sciences and Technology, Oran, ALGERIA

4) Hassiba Benbouali University of Chlef, ALGERIA

M. Hadj Meliani https://orcid.org/0000-0003-1375-762X , *email: m.hadjmeliani@univ-chlef.dz

 

Abstract

The monitoring of vibrations in rotating machinery aims to provide information on the operational state of the machine without interrupting the production line. This prevents production losses and enhances reliability and safety. In this regard, this article presents a study integrated within the context of applying condition-based maintenance through vibration analysis of bearings, utilising the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) method to detect bearing faults in the induction motor. The results of experimental tests conducted on a 3 kW, 50 Hz induction motor demonstrate the effectiveness of the ESPRIT method in identifying low-amplitude harmonics that characterise bearing failures.

Keywords: • vibration • ESPRIT • bearing faults • induction motor • diagnosis 

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