What is it about?
The paper refers to a noise analyses developed both in Matlab and Python environments in order to determine the failure of rolling bearings. The various types of vibration and sound in rolling bearings are grouped into the four categories: structural, manufacturing, handling and others (like lubricant noise, seal noise, etc). There is known that any frequencies of vibration and sound generated in rolling bearings are related to the natural frequency of the raceway rings. Of the two raceway rings, the natural frequency of the outer ring becomes a problem more often than the inner ring due to a loose fit between it and the housing. The modes of vibration of the outer ring are roughly divided into two categories: those that consider the outer ring as a rigid body and those that consider it as an elastic body. There are several formulas for calculating the natural frequency of the bending mode in the outer ring of a ball bearing. The authors developed an experimental setup for study the noise behavior of rolling bearings : normal or damaged bearings. Both bearings have operated on the experimental setup successively and the noises were recorded. Comparing the frequencies behavior of the two bearings a conclusion could be set.
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Why is it important?
Experimental results show that the proposed method could effectively identify defects from real vibration signals collected from rolling bearings. There were developed two interfaces in Python and Matlab. Using Python software in achieving performance and make an graphics user interface, it was noticed that the only differences between this program and MATLAB are certain functions with different syntaxes. In the present study it stands out in particular that both software are similar in terms of programming language and interface.
Perspectives
Real vibration signals collected from bearings operating in an insonorized room are measured for validating the effectiveness of the proposed method. The evaluation of rolling bearing could be achieved in situ, but there are required some special conditions: it is necessary to isolate the bearing which has to be evaluate. Experimental results show that the method provides a higher accuracy for the defective frequency detection.
Assoc. Professor Ciprian Ion Rizescu
University POLITEHNICA of Bucharest
Read the Original
This page is a summary of: Noise Analyses for Rolling Bearings, July 2019, Springer Science + Business Media,
DOI: 10.1007/978-3-030-26991-3_8.
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