Dynamic model to predict vibration characteristics of rolling element bearings with inclined surface fault

•Dimensional Analysis (DA) used to model the rolling bearing behaviour.•Artificial defected bearing tested on developed experimental setup.•Experiments performed to analyse effect of slope angle and size of fault.•DA effectively detects inclined surface fault in bearings. The dynamic behavior of rol...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2021-11, Vol.184, p.109879, Article 109879
Main Authors: Suryawanshi, Ganesh L., Patil, Sachin K., Desavale, Ramchandra G.
Format: Article
Language:English
Subjects:
Amplitudes
Bearings
Condition monitoring
Dimensional analysis
Dynamic models
Dynamic response
Fault diagnosis
Faults
Inclination angle
Roller bearings
Rolling element bearings
Rotating machinery
Rotor speed
Rotor-bearing systems
Surface fault angle
Vibration
Vibration response
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Summary:•Dimensional Analysis (DA) used to model the rolling bearing behaviour.•Artificial defected bearing tested on developed experimental setup.•Experiments performed to analyse effect of slope angle and size of fault.•DA effectively detects inclined surface fault in bearings. The dynamic behavior of rolling element bearings has been a complex phenomenon in high speed rotating machinery. Consistent fluctuations in load and speed lead to induct faults on the bearing surface. This work investigates the effect of inclined surface faults on the dynamic response of rolling element bearings. The dynamic model for the rotor-bearing system is derived using Dimensional analysis considering the angle of inclined surface faults, rotor speed, load, and significant bearing parameters. Vibration responses of double row spherical roller bearing are experimentally investigated to analyse the effects of size and slope angle of the artificially developed inclined surface faults. The results indicate that increasing surface fault inclination angle significantly decreases the relative vibration amplitude under diverse rotor speed but rises with increasing fault depth. This empirically obtained variation in the vibration amplitude helps to predict the bearing surface fault inclination. This dynamic model to predict the effect of inclined surface faults using the Dimension principle found efficient and contributed to the condition monitoring in process industries.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2021.109879