Abstract
The bearing is one of the most important components of rotating machines. Nevertheless, in normal conditions of use, it is subject to fatigue which creates a defect called a rolling fatigue spalling. In this work, we present a follow-up of the thrust bearing fatigue on a test bench. Vibration analysis is a method used to characterize the defect. In order to obtain the fatigue curve more adjusted, we have studied the vibration level according to statistical indicators: the Root Mean Square value (RMS value), which is one of the best indicators to show the evolution of the bearing degradation. The approach follows the working of the bearing until the degradation with an on line acquisition of vibration statements in form of time signals. With the signal treatment, we obtain the values of the vibration amplitudes which characterize the vibration state of the bearing. Consequently, these values allow us to plot the fatigue curves. During our experimental work, this operation is applied for a batch of thrust bearings for which we have obtained similar fatigue curves where the evolution trend follows a regression model from the detection of the onset of the first spall. The result of this work will contribute to predict the working residual time before failure.
Highlights
Some defects induce periodic impulse forces on the rotating machines that can Article published by EDP SciencesO
The experimental tests of thrust bearing fatigues have allowed to obtain two types of results: the values of the amplitudes indicating the vibratory level of the degradation and the size of the defect representing the surface of the spalling
As the time of normal functioning varies from a bearing to one another, the interest of the exploitation of the results is linked to the spalling phase
Summary
Some defects (gear and bearing spallings) induce periodic impulse forces on the rotating machines that can Article published by EDP Sciences. Physical approaches have been developed to estimate the residual life of the bearings They are based on the use of endurance curves that give the number of cycles to failure according to the applied stress and on the application of an accumulation law (most often, the Miner model) which allows to lead to the determination of life [11]. Like most of the degradation models of bearings based on a mathematical power function (1), many experimental studies have led to the fatigue curves of a material, they generally follow a trend with a non-linear law [12] (Damage Curve Approach) [9, 17] (changes in the size of defect in time). The test bench enables tracking the evolution of the spall in terms of its size and the vibration level, while controlling the operating conditions: load, rotation speed, lubrication, and temperature
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