Prediction of a bearing service life is traditionally achieved by empirical or physical models, which have their own strengths and limitations. In an effort to combine the strengths of these modeling approaches, this research investigates the concept of Multi-Time Scale Modeling (MTSM). Specifically, a MTSM strategy for bearing life prognosis is developed by correlating experimentally acquired bearing vibration data with physics based model of microscopic growth of crack size. The strategy is composed of a fast scale empirical model (e.g., root mean square value of vibration), a slow scale physical model (e.g., change of crack length over one loading cycle), and a model coupling mechanism (e.g., bidirectional mapping functions). The fast and slow scale models are obtained by polynomial regression analysis and using the concept of the Paris Law, respectively. The coupling mechanism is established through introduction of dynamic mass into the model. The improvement in bearing service life prediction, obtained by the presented MTSM strategy is experimentally validated.
Skip Nav Destination
ASME 2009 Dynamic Systems and Control Conference
October 12–14, 2009
Hollywood, California, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4892-0
PROCEEDINGS PAPER
Multi-Time Scale Modeling Strategy for Bearing Life Prognosis Available to Purchase
Shuangwen Sheng,
Shuangwen Sheng
National Renewable Energy Laboratory, Golden, CO
Search for other works by this author on:
Robert X. Gao
Robert X. Gao
University of Connecticut, Storrs, CT
Search for other works by this author on:
Shuangwen Sheng
National Renewable Energy Laboratory, Golden, CO
Robert X. Gao
University of Connecticut, Storrs, CT
Paper No:
DSCC2009-2680, pp. 645-652; 8 pages
Published Online:
September 16, 2010
Citation
Sheng, S, & Gao, RX. "Multi-Time Scale Modeling Strategy for Bearing Life Prognosis." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 1. Hollywood, California, USA. October 12–14, 2009. pp. 645-652. ASME. https://doi.org/10.1115/DSCC2009-2680
Download citation file:
13
Views
Related Proceedings Papers
Related Articles
Experimental and Numerical Studies on Spherical Roller Bearings Using Multivariable Regression Analysis
J. Vib. Acoust (April,2014)
Multivariate Response Rotordynamic Modeling and Sensitivity Analysis of Tilting Pad Bearings
J. Eng. Gas Turbines Power (July,2018)
A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection
J. Manuf. Sci. Eng (August,2024)
Related Chapters
Concluding Remarks and Future Work
Ultrasonic Welding of Lithium-Ion Batteries
Experimental and Statistical Study on the Noise Generated by Surface Defects of Bearing Rolling Bodies
Bearing and Transmission Steels Technology
Conclusions
Introduction to Finite Element, Boundary Element, and Meshless Methods: With Applications to Heat Transfer and Fluid Flow