Artificial Intelligent Systems and Machine Learning

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System Identification of Hydrodynamic Journal Bearings using Oil Film Thickness Measurement


Affiliations
1 Padmashri Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Mechanical Engineering Department (Affiliated to Pune University)Maharashtra, India
2 Shreeyash College of Engineering, Aurangabad Maharashtra, India
3 Chemical Engineering Dept. University Dept. of Technology (UDCT) North Maharashtra University, Jalgaon, Maharashtra, India
     

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System identification is the process of creating mathematical models of dynamic process from measured input- output variables and signals. The aim of system identification can be identified as to find a model with adjustable parameters and then to adjust them so that the predicted output matches the measured output. Present work is an approach to perform system identification of hydrodynamic journal bearing assembly using experimental data of speed and oil film thickness as the input and output respectively. Then by using system identification tools transfer function of hydrodynamic journal bearing system is estimated. Further the transfer function obtained is simulated to obtain its response and results of simulation and experimental values are in good agreement.

Keywords

Hydrodynamic Journal Bearing Modeling, Transfer Function, System Identification, etc.
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  • System Identification of Hydrodynamic Journal Bearings using Oil Film Thickness Measurement

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Authors

Ravindra R. Navthar
Padmashri Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Mechanical Engineering Department (Affiliated to Pune University)Maharashtra, India
N. V. Halegowda
Shreeyash College of Engineering, Aurangabad Maharashtra, India
V. S. Patil
Chemical Engineering Dept. University Dept. of Technology (UDCT) North Maharashtra University, Jalgaon, Maharashtra, India

Abstract


System identification is the process of creating mathematical models of dynamic process from measured input- output variables and signals. The aim of system identification can be identified as to find a model with adjustable parameters and then to adjust them so that the predicted output matches the measured output. Present work is an approach to perform system identification of hydrodynamic journal bearing assembly using experimental data of speed and oil film thickness as the input and output respectively. Then by using system identification tools transfer function of hydrodynamic journal bearing system is estimated. Further the transfer function obtained is simulated to obtain its response and results of simulation and experimental values are in good agreement.

Keywords


Hydrodynamic Journal Bearing Modeling, Transfer Function, System Identification, etc.