Fault Diagnostics of Roller Bearings Using Dimension Theory
| Autor: | Edwin Sudhagar P, Surajkumar G. Kumbhar |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 02 engineering and technology Structural engineering Fault (power engineering) Vibration 03 medical and health sciences 020303 mechanical engineering & transports 0302 clinical medicine 0203 mechanical engineering Mechanics of Materials 030221 ophthalmology & optometry Safety Risk Reliability and Quality Dimension theory (algebra) business Civil and Structural Engineering |
| Zdroj: | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 4 |
| ISSN: | 2572-3898 2572-3901 |
| Popis: | Rolling bearings accomplishes a smoother force transmission between relative components of high production volume systems. An impending fault may cause system malfunction and its maturation lead to a catastrophic failure of the system that increases the possibility of unscheduled maintenance or an expensive shutdown. These critical states demand a robust failure diagnosis scheme for bearings. The present paper demonstrates a novel way to develop a dynamic model for the rotor-bearing system using dimensional analysis (DA) considering significant geometric, operating, and thermal parameters of the system. The vibration responses of faulty spherical roller bearings are investigated under various operating conditions for validation of the developed model. Multivariable regression analysis is performed to expose the potential of the approach in the detection of the bearing failure. Results obtained unveil the simple and reliable nature of the dynamic modeling using DA. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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