Identification of unbalance in a rotor system using a joint input-state estimation technique

A technique for estimation of unbalance parameters of rotor-bearing systems has been presented and verified by numerical simulations and experimental measurements. The method uses system model and response measurements for unbalance identification. A rigid rotor model is considered in the present wo...

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Bibliographic Details
Published in:Journal of sound and vibration Vol. 442; pp. 414 - 427
Main Authors: Shrivastava, Akash, Mohanty, Amiya R.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier Ltd 03.03.2019
Elsevier Science Ltd
Subjects:
Component parts
Computer simulation
Estimates
Experiments
Force estimation
Joint input-state estimation
Mathematical models
Model-based technique
Noise
Noise levels
Noise measurement
Noisy measurements
Parameter estimation
Parameter identification
Robustness (mathematics)
Rotor-bearing system
Rotor-bearing systems
Sensitivity analysis
Simulation
State estimation
Unbalance
Unbalance identification
Model-based technique
Joint input-state estimation
Unbalance identification
Noisy measurements
Force estimation
Rotor-bearing system
ISSN:0022-460X, 1095-8568
Online Access:Get full text
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Summary:A technique for estimation of unbalance parameters of rotor-bearing systems has been presented and verified by numerical simulations and experimental measurements. The method uses system model and response measurements for unbalance identification. A rigid rotor model is considered in the present work. Unbalance force estimation using a joint-input state estimation technique is followed by unbalance parameter identification using least-squares fitting. Results are presented for different shaft speeds and measurement noise levels. Unbalance parameters are identified accurately with noisy measurements, which verifies the robustness of the proposed technique. The proposed technique is verified on a rotor-bearing test rig for different unbalance configurations. Sensitivity analysis is also performed by varying the values of system parameters. •A model-based approach for unbalance parameter estimation is proposed.•Unbalance force is estimated using a joint-input state estimation technique.•Numerical and experimental results are presented for the verification.•Effect of measurement noise is shown.•Sensitivity analysis is performed by varying system parameters.
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ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2018.11.019