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Bearing fault diagnosis based on optimal Morlet wavelet filter and Teager-Kaiser energy operator

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Abstract

A defective rolling bearing usually generates repetitive impulses often appears as an amplitude modulated signal, which contains fault feature. To assess the faulty bearings, a proper signal processing method is necessary to extract the fault information from the periodic impulses submerged in heavy background noise and interference vibrations. This paper presents a new Combined Time–Frequency Method (CTFM) based on Morlet Wavelet Filter (MWF), Intrinsic Time-scale Decomposition (ITD), and Teager-Kaiser (TK) energy operator to extract impulsive features for better evaluating bearing operating conditions. The MWF with predefined parameters (center frequency and bandwidth) is used to remove background noise from bearing vibration signal. The filtered signal, which is a multi-component signal, is decomposed into Proper Rotation Components (PRCs) through ITD method, followed by an error analysis to select the most significant PRCs in order to eliminate interference components. Then, the bearing vibration signal is reconstructed from the selected components and its energy is estimated using the TK operator. According to the maximum energy value, the power spectrum of the TK envelope or modulating signal is used for clear visualization of the Bearing Characteristic Frequencies (BCFs) as well as the optimal parameters of the Morlet filter are retained. To test its performance, the proposed CTFM is applied on simulated and experimental bearing signals and discussed by comparing its performance to previous studies. The obtained results demonstrate the effectiveness of the CTFM in identifying BCFs.

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  1. Research Center in Industrial Technologies CRTI, P.O.Box 64, Cheraga, Algiers, Algeria

    Hocine Bendjama

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  1. Hocine Bendjama
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Correspondence to Hocine Bendjama.

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Bendjama, H. Bearing fault diagnosis based on optimal Morlet wavelet filter and Teager-Kaiser energy operator. J Braz. Soc. Mech. Sci. Eng. 44, 392 (2022). https://doi.org/10.1007/s40430-022-03688-4

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