Uncertainty analysis of rotating machines using fuzzy logic approach

Abstract eng:
The present contribution is dedicated to the analysis of uncertainties affecting the dynamic behaviour of flexible rotors. For this aim, according to the literature, a stochastic method has been extensively used to model uncertain parameters, namely the so-called Monte Carlo simulation. However, in the present contribution, the inherent uncertainties of various parameters of the system (i.e., geometry, material, oil viscosity, and radial clearance of oil film bearings) are modelled by using a fuzzy based analysis. This alternative methodology seems to be more appropriate when the stochastic process that models the uncertainties is unknown. The dynamic analysis includes both time and frequency domains, as given by the unbalance responses and orbits. A comparison between Monte Carlo simulation and fuzzy analysis is performed. Finally, experimental tests are made to illustrate the validity of the methodology conveyed.

• Export as: BibTeX | MARC | MARCXML | DC | EndNote | NLM | RefWorks
• Add to your basket