Bearing Health Monitoring
Journal: Tribology in Industry (Vol.38, No. 3)Publication Date: 2016-09-20
Authors : S. Shah; A. Guha;
Page : 297-307
Keywords : Bearing health monitoring; Vibration; Kurtosis; Empirical mode decomposition; Intrinsic mode function;
Abstract
Health monitoring of bearings is a widely researched topic and has been attempted by analysing acoustic, thermal and vibration signatures. The methods usually require signal of a healthy bearing to be used as a baseline. This limits their use in practical scenarios. This work proposes a kurtosis based baseline free method of analysing vibration signals to identify the bearing which has generated a fault. It then reports a detailed study on empirical mode decomposition technique for extracting intrinsic mode functions and suggests a set of steps which are necessary and sufficient for the purpose of bearing health monitoring. Thereafter, it compares a few dominant frequencies with the expected ones based on known bearing dimensions. This process has been shown to be fairly accurate in identifying the location of fault in a bearing.
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Last modified: 2016-10-05 16:28:50