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Motor Current Signature Analysis for Detecting Local Defects on Rolling-Element Bearings of Induction Motors

  • Research Article-Electrical Engineering
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Abstract

Motor current signature analysis is a useful method for detecting incipient faults in induction motors (IMs). However, the harmonic components introduced in the IM current by the local defects of the rolling-element bearing are usually too weak to be detected using common signal processing techniques such as the fast Fourier transform. In this paper, a three-phase IM is considered and local defects are created on its inner ring, outer ring, ball and cage, in turn. Then a proper test rig is prepared to sample and record the stator current at no load, full load and different temperatures under the healthy and defective bearing conditions. The recorded current signals are then decomposed into their intrinsic mode functions (IMFs) using the empirical mode decomposition algorithm. By applying Hilbert transform to the attained IMFs, it becomes clear that the fault-related harmonics are easily detectable in the first IMF. The study reveals that this method enables to detect the bearing local defects on its different parts with different severities under variable operating loads and temperatures.

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Authors and Affiliations

  1. University of Zanjan, Zanjan, Iran

    Mehdi Tabasi, Mohammad Mostafavi & Mansour Ojaghi

  2. Sowmesara Branch, Islamic Azad University, Sowmesara, Iran

    Mehdi Tabasi

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  1. Mehdi Tabasi
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  2. Mohammad Mostafavi
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  3. Mansour Ojaghi
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Correspondence to Mansour Ojaghi.

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Tabasi, M., Mostafavi, M. & Ojaghi, M. Motor Current Signature Analysis for Detecting Local Defects on Rolling-Element Bearings of Induction Motors. Arab J Sci Eng 48, 14811–14822 (2023). https://doi.org/10.1007/s13369-023-07849-y

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