Bearing Health Monitoring
Journal Title: Tribology in Industry - Year 2016, Vol 38, Issue 3
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.
Authors and Affiliations
S. Shah , A. Guha
Keywords
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