Detection of defects in a bearing by analysis of vibration signals
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Electromechanical engineering laboratory, Badji Mokhtar-Annaba University,
Submission date: 2022-12-09
Final revision date: 2023-01-26
Acceptance date: 2023-03-14
Online publication date: 2023-03-21
Publication date: 2023-03-21
Corresponding author
Karim Bouaouiche   

Electromechanical engineering laboratory, Badji Mokhtar-Annaba University,
Diagnostyka 2023;24(2):2023203
This work presents the analysis of vibration signals by an approach consists of several mathematical tools more elaborate such as the Hilbert transform, kurtogram, which allows the detection of vibration defects in a simple and accurate way. The steps or methods inserted in the process one complementary to the other as scalar indicators generally used in monitoring to follow the evolution of the functioning of a machine when an abnormal functioning it must make a diagnosis to detect the failing element through the use of a process. The determination of the defective organs at an optimal time is a very important operation in the industrial maintenance, which keeps the equipment in a good condition and ensures the assiduity of work. To see the effectiveness of fault detection by the proposed approach by analyzing the real vibration signals of a bearing type 6025-SKF available on the Case Western Reserve University platform.
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