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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1580

Title: Experimental Identification of Bearing Stiffness in a Rotor Bearing System
Authors: Palariya, S S
Rajasekhar, M
Srinivas, J
Keywords: Dual-disk rotor
Finite element modeling
Neural network estimator
Bearing stiffness
Issue Date: 2011
Citation: National Symposium on Rotor Dynamics NSRD-2011, 19-21 December 2011, Indian Institute of Technology Madars
Abstract: This paper presents the dynamic analysis of a dual-disk rotor supported over a double-row ball bearing system. Finite element model of the rotor is employed to know the approximate range of first few bending frequencies and the corresponding resonance amplitudes as a function of bearing stiffness coefficient. A non-parametric model based on back-propagation neural network is developed in order to assess the bearing stiffness for known values of frequency shifts and resonance amplitudes with respect to rigid bearing support conditions. A scaled prototype of the rotor dynamic test rig with the disks is fabricated and experimental modal analysis is conducted using electrodynamic excitation technique. Frequency modulated sine-sweep tests are conducted in two different conditions: first by laying it over the ballbearing system whose stiffness has to be ascertained and then by mounting it over rigid supports. The non-dimensional frequency shifts and amplitude ratios from the experimentally ...
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/1580
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