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- Title
1731. Application of alpha-stable distribution approach for local damage detection in rotating machines.
- Authors
Żak, Grzegorz; Wyłomańska, Agnieszka; Zimroz, Radosław
- Abstract
In this paper a novel method for informative frequency band selection for local damage detection is presented. Local damage in bearings/gearbox provides specific vibration signature, i.e. train of impulses with cycle related to fault frequency. The proposed approach is based on the α-stable distribution, which is an extension of the Gaussian one. The choice of this distribution is motivated by its superiority towards other distributions when modeling impulsive data. We introduce here the new selector (to select informative frequency band) which is based on the stability parameter α. Moreover we propose also the new time-frequency maps based on the measures of dependence adequate for α-stable distribution, namely autocodifference and autocovariation maps. The introduced methodology is illustrated by analysis of simulated and real vibration signals from heavy-duty rotating machinery. The results prove that proposed approach allows detection of multiple damages in signal and location of informative frequency band related to these damages. Moreover the analyzed examples indicate the α-stable distribution approach for some cases can give better results in contrast to the classical methodology based on the spectral kurtosis.
- Subjects
ROTATING machinery; GEARBOXES; MECHANICAL vibration research; MECHANICS (Physics); ENGINEERING
- Publication
Journal of Vibroengineering, 2015, Vol 17, Issue 6, p2987
- ISSN
1392-8716
- Publication type
Article