Statistical Approach of Bearing Degradation

Mokhtar Bourdim; A. Bourdim; S. Kerrouz; A. Benamar

doi:10.15866/ireme.v10i7.9434

Statistical Approach of Bearing Degradation

Mokhtar Bourdim^(1*), A. Bourdim⁽²⁾, S. Kerrouz⁽³⁾, A. Benamar⁽⁴⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/ireme.v10i7.9434

Abstract

Rolling bearings are the most fragile components of rotating machines. To avoid unforeseen stoppages and expensive production, it must then continuously monitor the condition of the bearings, and "stalk" all faults signs: an unusual noise, abnormal vibration, temperature rise, and so on. For this, these are not techniques that are missing. Conventional vibration analysis methods (envelope detection, spectre analysis, crest factor, etc.) to more specific techniques such as shock wave, they can detect faults at an early stage more or less and sometimes to determine the exact origin. In this approach we try to show the influence of operating conditions of a rolling on his life, and to award the method of real service to follow for assessing the remaining duration of survival for many supply and provide the judgments of each rotating machine in advance.
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Keywords

Bearing; Vibration; Effort; Static Load; Lubrication; Mounting; Environment; Stress; Static

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