Rolling Bearing Fault Detection Using Autocorrelation Based Morpho-logical Filtering and Empirical Mode Decomposition

Jingyue WANG, Haotian WANG, Lixin GUO, Diange YANG

Abstract


In order to identify incipient rolling bearing pitting fault characteristics, an autocorrelation based multi-structure elements difference morphological filter and empirical mode decomposition method of fault diagnosis is presented in this paper. Through the experiment of rolling bearing inner and outer ring pitting failure, the fault vibration frequency is extracted to verify the feasibility of this method. The superiority of this method is verified by comparing with the empirical mode decomposition method with autocorrelation based multi-structure element mixed morphological filter and without filter.

DOI: http://dx.doi.org/10.5755/j01.mech.24.6.22471


Keywords


rolling bearing, pitting failure, autocorrelation, morphologi-cal filter, empirical mode decomposition

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Print ISSN: 1392-1207
Online ISSN: 2029-6983