The importance of FFT and BCS spectrums analysis for diagnosis and prediction of rolling bearing failure

Dumitru-Cristinel Nadabaica , Valentin Nedeff , Stanisław Radkowski , Jędrzej Mączak


Dynamic equipments, in their vast majority, have rolling bearings in their components. Measurement and analysis of the values of rolling bearings vibration, on time, represent a safe and effective measure for identifying the state of wear of bearings, and to predict the evolution of their technical condition and of the entire equipment. This paper presents the detection of causes which lead to the damage of rolling bearing by using FFT (Fast Fourier Transformation) and BCS (Bearing Condition Signature) spectrums, by measuring its housing vibrations (self-aligning ball bearing, ZKL 1205K type) mounted in a test rig. The results presents the analysis mode of FFT and BCS spectrums in order to obtain beneficial information for the detection of that unbalance caused by loading, of the implemented defect on rolling bearing raceway and of bearing damage mode under the action of these causes.
Author Dumitru-Cristinel Nadabaica - [Universitatea din Bacau]
Dumitru-Cristinel Nadabaica,,
, Valentin Nedeff - [Universitatea din Bacau]
Valentin Nedeff,,
, Stanisław Radkowski (FACME / IAE)
Stanisław Radkowski,,
- Institute of Automotive Engineering
, Jędrzej Mączak (FACME / IAE)
Jędrzej Mączak,,
- Institute of Automotive Engineering
Journal seriesDiagnostyka, ISSN 1641-6414
Issue year2013
Keywords in EnglishFFT spectrum, BCS spectrum, rolling bearings, diagnose, prediction
ASJC Classification2208 Electrical and Electronic Engineering; 1712 Software
Languageen angielski
Score (nominal)11
Score sourcejournalList
ScoreMinisterial score = 7.0, 18-03-2020, ArticleFromJournal
Ministerial score (2013-2016) = 11.0, 18-03-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2014 = 0.021
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