Signal Processing Tools for Tracking the Size of a Spall in a Rolling Element Bearing

摘要: There is considerable interest in diagnostics and prognostics of operating machines based on vibration analysis signal processing, because the major economic benefit from condition-based monitoring comes being able to predict with reasonable certainty likely lead time before breakdown. In case rolling element bearings, a number powerful techniques have been developed recent years separate rather weak signals coming faulty bearings strong background vibrations, diagnose type fault. The MED (minimum entropy deconvolution) technique was initially applied reduce overlap adjacent impulse responses high speed thus allow their diagnosis by envelope analysis. It then suspected that also might potential impulses entry into, exit an individual fault, give information fault size. This paper gives results initial study into application MED, other techniques, obtain best measure length developing spall, use prognostic algorithms estimate safe remaining life, current size rate evolution time. found response events markedly different, so pre-processing required could be applied. discusses methods noise averaged spall length.