Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings

Karolina Kudelina,Tatjana Baraškova,Toomas Vaimann,Veroonika Shirokova,Anton Rassõlkin

doi:10.3390/machines10020086

Karolina Kudelina, Tatjana Baraškova + Show 3 more

Open Access

https://doi.org/10.3390/machines10020086

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Journal: Machines	Publication Date: Jan 25, 2022
Citations: 13	License type: CC BY 4.0

Affiliation: Tallinn University of Technology

Abstract

Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed. Therefore, maintenance questions and predicting the accuracy of an equipment’s condition have great importance. This study is based on the theory of vibration reliability. This article introduces the most common faults of bearings in electrical machines and discusses their diagnostic possibilities. Experimental setup, as well as studied bearing failures, are described. The accuracy of conducted experiments is introduced.

Highlights

Condition monitoring and failure prediction of the equipment are crucial due to their wide usage in different applications
The creation of an effective condition monitoring system would ensure the reliability of technical resources and the quality of service
The diagnostics of rolling bearings using the proposed method allows us to evaluate the accuracy of the classification of bearing faults

Summary

Introduction

Condition monitoring and failure prediction of the equipment are crucial due to their wide usage in different applications. Authors in [4] present an analysis of feature extraction methods in vibration-based condition monitoring for low-speed slew bearing. In [5], authors introduce a study of fault diagnosis of a low-speed bearing based on acoustic emission signal and multi-class relevance vector machine. Impressive findings on the diagnostic analysis of acceleration signals from rolling element bearings are presented in [7]. An assessment of the accuracy of monitoring the technical condition of objects is given in [11]. The article presents modern methods for wear monitoring of turning tools and the possibility of using the phase chronometer diagnostic method to assess tool wear [14].

Bearing Faults

Mechanical Damages

Results

Conclusions