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Control and prediction protocol for bearing failure through spectral power density
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Department of Mining, Mechanical, Energy and Construction Engineering, Higher Technical School of Engineering, University of Huelva, 21007 Huelva, Spain
Publication date: 2020-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(4):651–657
  • Rotating elements are one of the main failure causes in production systems.
  • Analysis of the SKF6322 beraing in real use ocnditions during 15 years.
  • The analysis concluded that SPEED has been the most sifnificant frequency.
  • This study could help improve predictive maintenance by reducing monitoring times.
This paper aims to analyse the results of the comparative study of the characteristic frequencies, in terms of Power Spectral Density (PSD), generated by an SKF6322 bearing in a rotational blower. Among all the analysed frequencies, we have focused on the ones generated by the shaft rotation speed, the one on the blades and the ones of the SKF6322 bearing, such as the tracks, the cage and the balls. For this study, we followed the ISO 10816 criteria, both in the sampling part and in the data analysis, using the speed values in terms of PSD, which improves the results in both high and low frequencies. This study can be used to predict the performance of bearings and their future failure, determining the most decisive frequency, the one with the highest incidence and the relative influence of each one on the different positions and monitoring coordinate axes. This procedure can be applied to improve the predictive maintenance protocol in order to improve the performance, efficiency and reliability of the equipment with bearings in their systems.
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