@ARTICLE{Lal_Mohit_Estimation_2018, author={Lal, Mohit and Satapathy, Monalisha}, volume={vol. 65}, number={No 3}, journal={Archive of Mechanical Engineering}, pages={327-347}, howpublished={online}, year={2018}, publisher={Polish Academy of Sciences, Committee on Machine Building}, abstract={In rotating machineries, misalignment is considered as the second most major cause of failure after unbalance. In this article, model-based multiple fault identification technique is presented to estimate speed-dependent coupling misalignment and bearing dynamic parameters in addition with speed independent residual unbalances. For brevity in analysis, a simple coupled rotor bearing system is considered and analytical approach is used to develop the identification algorithm. Equations of motion ingeneralized co-ordinates are derived with the help of Lagrange’s equation and least squares fitting approach is used to estimate the speed-dependent fault parameters. Present identification algorithm requires independent sets of forced response data which are generated with the help of different sets of trial unbalances. To avoid/suppress the ill-conditioning of regression equation, independent sets of forced response data are obtained by rotating the rotor in clock-wise and counter clock-wise directions, alternatively. Robustness of algorithm is checked for different levels of measurement noise.}, type={Artykuły / Articles}, title={Estimation of speed dependent fault parameters in a coupled rotor-bearing system}, URL={http://journals.pan.pl/Content/108627/PDF/AME_124485.pdf}, keywords={speed-dependent dynamic parameters, rotor-bearing-coupling, misalignment, analytical approach, multiple faults, Lagrange’s method}, }