Distributed fault diagnosis of rotor-bearing system using dimensional analysis and experimental methods

Abstract Distributed defects in rolling element bearing arise due to the progression of small localized pits. If not monitored on time, this leads to premature or may turn into catastrophic failure of a rotor system and thus increases the cost of maintenance of machinery in industries. This research work introduced a novel method for the diagnosis of rolling element bearings to detect distributed defects using Dimensional Analysis (DA). The rolling element bearing system is modeled using DA with Buckingham’s theorem to study the vibration characteristics theoretically. Significant geometrical and response parameters are considered for modeling the rotor-bearing system. The in-house experimental test rig is designed and fabricated to study the vibration characteristics of distributed defects experimentally. Geometrical imperfections are created intentionally on the bearings surfaces using electro-discharge machining and vibration signatures generated are studied under different operating conditions. Experimental results are compared with analytical models developed using the DA. A comparison is made between distributed and localized defects and vibrations signatures from both are correlated with healthy bearings. It is noticed that there is a good correlation between theoretical and experimental results. The present study contributes as a simple and effective diagnosis of rolling element bearings for distributed defects and useful for condition monitoring of industrial machinery.

[1]  David,et al.  A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size , 2006 .

[2]  F P Wardle,et al.  Vibration Forces Produced by Waviness of the Rolling Surfaces of Thrust Loaded Ball Bearings Part 1: Theory , 1988 .

[3]  M. H. Nazir,et al.  Experimental analysis and modelling of c-crack propagation in silicon nitride ball bearing element under rolling contact fatigue , 2018, Tribology International.

[4]  Arun K. Samantaray,et al.  Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate , 2016 .

[5]  N. Tandon,et al.  A Theoretical Model to Predict Vibration Response of Rolling Bearings to Distributed Defects Under Radial Load , 1998 .

[6]  Robert B. Randall,et al.  Simulating gear and bearing interactions in the presence of faults. Part I. The combined gear bearing dynamic model and the simulation of localised bearing faults , 2008 .

[9]  Jose Mathew,et al.  A theoretical model to predict the effect of localized defect on vibrations associated with ball bearing , 2010 .

[10]  Pavle Boškoski,et al.  Distributed bearing fault diagnosis based on vibration analysis , 2016 .

[11]  O. Prakash,et al.  DYNAMIC RESPONSE OF AN UNBALANCED ROTOR SUPPORTED ON BALL BEARINGS , 2000 .

[12]  S. B. Wadkar,et al.  Experimental Investigation for Distributed Defects in Ball Bearing Using Vibration Signature Analysis , 2016 .

[13]  V. N. Patel,et al.  Vibrations Generated by Rolling Element Bearings having Multiple Local Defects on Races , 2014 .

[14]  H. Karagülle,et al.  Vibration analysis of rolling element bearings with various defects under the action of an unbalanced force , 2006 .

[15]  J. Antoni.  Fast computation of the kurtogram for the detection of transient faults , 2007 .

[16]  Surajkumar G. Kumbhar,et al.  Fault Diagnostics of Roller Bearings using Dimension Theory , 2020 .

[17]  Dipen S. Shah,et al.  Study on Excitation Forces Generated by Defective Races of Rolling Bearing , 2016 .

[18]  Robert B. Randall,et al.  Simulating gear and bearing interactions in the presence of faults Part II. Simulation of the vibrations produced by extended bearing faults , 2008 .

[19]  N. Tandon,et al.  An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect , 1997 .

[20]  Y.-T. Su,et al.  The Effects of Surface Irregularities on Roller Bearing Vibrations , 1993 .

[21]  L. D. Meyer,et al.  An Analytic Model for Ball Bearing Vibrations to Predict Vibration Response to Distributed Defects , 1980 .

[22]  Sylvain Laporte,et al.  Monitoring of distributed defects on HSM spindle bearings , 2014 .

[23]  D. P. Vakharia,et al.  Model Development for Investigation of Localized Defects in Taper Roller Bearings Using Matrix Method of Dimensional Analysis , 2016 .

[24]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[25]  B. Eftekharnejad,et al.  The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing , 2011 .

[26]  N. Tandon,et al.  A theoretical model to predict the vibration response of rolling bearings in a rotor bearing system to distributed defects under radial load , 2000 .