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Bearing Fault Feature Extraction by Recurrence Quantification Analysis

Authors: V. G. Rajesh, M. V. Rajesh


In rotating machinery one of the critical components that is prone to premature failure is the rolling bearing. Consequently, early warning of an imminent bearing failure is much critical to the safety and reliability of any high speed rotating machines. This study is concerned with the application of Recurrence Quantification Analysis (RQA) in fault detection of rolling element bearings in rotating machinery. Based on the results from this study it is reported that the RQA variable, percent determinism, is sensitive to the type of fault investigated and therefore can provide useful information on bearing damage in rolling element bearings.

Keywords: recurrence quantification analysis, Nonlinear time series analysis, Bearing fault detection, machine vibrations

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