Vibration analysis techniques for rolling element bearing fault detection

Authors

DOI:

https://doi.org/10.32972/dms.2014.020

Keywords:

rolling element bearing failures, vibration signal, time-frequency domain techniques

Abstract

Unexpected rolling element bearing failures can cause machine breakdown and might even lead to catastrophic accident or even human casualty.In order to prevent these accidents, continuous failure detection is necessary. The following paper focuses on different rolling bearing defect detection methods based on vibration signal analysis.

References

Patel, J.–Patel, V.–Patel, A.: Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks. IJSRD, Vol. 1, Issue 4, 2013.

Patidar, S.–Soni, P. K.: An Overview on Vibration Analysis Techniques for the Diagnosis of Rolling Element Bearing Faults. IJETT, May 2013.

Staszewski, W. J.–Robertson, A. N.: Time-frequency and time-scale analyses for structural health monitoring. DOI: 10.1098/rsta.2006, February 2007.

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Published

2014-11-30

How to Cite

Tóth, D., Szilágyi, A., & Takács, G. (2014). Vibration analysis techniques for rolling element bearing fault detection. Design of Machines and Structures, 4(2), 65–70. https://doi.org/10.32972/dms.2014.020