4.6 Article

Identification of unbalance in a rotor-bearing system using Kalman filter-based input estimation technique

Journal

JOURNAL OF VIBRATION AND CONTROL
Volume 26, Issue 11-12, Pages 1081-1091

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1077546319891642

Keywords

Experimental test rig; unbalance identification; sensitivity analysis; parameter estimation; rigid rotor model

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Unbalance is a common machinery fault, which occurs because of uneven distribution of mass of a rotating component about its axis. Vibration-based monitoring techniques have been widely accepted for machinery fault diagnosis. This article presents experimental verification of a recently developed Kalman filter-based method for the identification of unbalance in rotor systems. The method is tested on an experimental test rig for different unbalance configurations and shaft speeds. The proposed technique is a model-based method, which requires a mathematical model of the rotor system along with response measurements. A rigid rotor model is used, and measured accelerations at bearing pedestals are used for unbalance parameter estimation. Bearing stiffnesses are estimated using a frequency domain parameter estimation technique with measured unbalance responses. Sensitivity analysis is also performed by altering the values of these estimated stiffnesses.

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