Fault Diagnosis of Rolling Contact Bearing by using ANN and SVM techniques

  • Sawai Mandakini
  • Randhvan Bhagwat
Keywords: Feature Extraction, SVM, ANN, Wavelet Analysis.


In this paper, an examination of the condition seeing of the roller contact bearing is presented. Bearing model data includes four novel conditions as having defective interior race, inadequate outer race, having deserts on roller and a strong bearing. For the preparation of the model bearing, laser machine is used for show of the smaller than normal size deserts on the surfaces. An alarming dissatisfaction of the moving contact bearing could cause immense financial adversities. Along these lines, inadequacy end in bearing has been the subject of genuine assessment. Vibration signal assessment has been comprehensively used in the weakness acknowledgment of turn contraption. Bearing example information comprises of four unique circumstances as having faulty inward race, blemished external race, having surrenders on roller and a solid bearing. For the arrangement of the example bearing, laser machine is utilized for presentation of the miniature size deserts on the surfaces. Support Vector Machine (SVM), Artificial brain organization (ANN) are utilized with highlight positioning technique for the information preparing reason and their adequacy of recognizing the condition is the significant reason. Highlight positioning technique is the better approach for sifting the right information in right succession for the information preparing. In results, ANN saw as more exact in examination with SVM.


[1] ADASH Dewesoft, Manuals & Brochures, 2020.
[2] S. Singh, C.Q. Howard, C.H. Hansen, An extensive review of vibration modeling of rolling element bearings with localized and extended defects, J. Sound Vib. 357 (2015) 300–330, https://doi.org/10.1016/j.jsv.2015.04.037.
H. Cheng, Y. Zhang, W. Lu, Y. Zhou, Research on ball-bearing model based on local defects, SN Appl. Sci. 1 (2019) 1219, https://doi.org/10.1007/s42452-019-1251-4.
[4] T. Govardhan, A. Choudhury, D. Paliwal, Vibration analysis of dynamically loaded bearing with distributed defect based on defect induced excitation, Int. J. Dynam. Control (2017) 1–12, https://doi.org/10.1007/s40435-017-0324-8.
[5] T. Govardhan, A. Choudhury, Fault Diagnosis of Dynamically Loaded Bearing with Localized Defect Based on Defect-Induced Excitation, J. Fail. Anal. Prev. 19 (2019) 844–857, https://doi.org/10.1007/s11668-019-00668-0. Fig. 12. Comparisons of the vibration responses (a) experimental (b) simulated. Table 8 Comparison between the model and the empirical results of the rotor-bearing system. Sr. No. Experimental Results Simulated Results Frequency (Hz) Amplitude (m/ s2 ) Frequency (Hz) Amplitude (m/ s2 ) 1 22.8 0.005 22.9 0.006 2 26.9 0.018 26.9 0.021 3 31.2 0.009 31 0.008 4 54.1 0.019 53.8 0.021 5 58.3 0.015 57.8 0.018 G.L. Suryawanshi et al. Measurement 184 (2021) 109879 10
[6] D. Chandra, Y. Rao, Fault Diagnosis of a Double-Row Spherical Roller Bearing for Induction Motor Using Vibration Monitoring Technique, J. Fail. Anal. Prev. 19 (2019) 1144–1152, https://doi.org/10.1007/s11668-019-00712-z.
[7] W. Zi, C. Zhu, A new model for analyzing the vibration behaviors of the rotorbearing system, Commun. Nonlinear Sci. Numer. Simul. 83 (2020), 105130, https://doi.org/10.1016/j.cnsns.2019.105130.
[8] P. Gao, L. Hou, R. Yang, Y. Chen, Local defect modeling and nonlinear dynamic analysis for the inter-shaft bearing in a dual-rotor system, Appl. Math. Model. 68 (2019) 29–47, https://doi.org/10.1016/j.apm.2018.11.014.
[9] Y. Jiang, W. Huang, J. Luo, W. Wang, An improved dynamic model of defective bearings considering the three-dimensional geometric relationship between the rolling element and defect area, Mech. Syst. Sig. Process. 129 (2019) 694–716, https://doi.org/10.1016/j.ymssp.2019.04.056.
[10] L. Niu, H. Cao, H. Hou, B. Wu, Y. Lan, X. Xiong, Experimental observations and dynamic modeling of vibration, characteristics of a cylindrical roller bearing with roller defects, Mech. Syst. Sig. Process 138 (2020), https://doi.org/10.1016/j. ymssp.2019.106553.
[11] Y. Liu, Y. Zhu, K. Yan, F. Wang, J. Hong, A novel method to model effects of natural defect on a roller bearing, Tribol. Int. 122 (2018) 169–178, https://doi.org/ 10.1016/j.triboint.2018.02.028.
[12] Y. Yang, W. Yang, D. Jiang, Simulation and experimental analysis of rolling element bearing fault in the rotor-bearing-casing system, Eng. Fail. Anal. 92 (2018) 205–221, https://doi.org/10.1016/j.engfailanal.2018.04.053.
[13] I.El Thalji, E. Jantunen, Fault analysis of the wear fault development in rolling bearings, Eng. Failure Anal. 57 (2015) 470–482, https://doi.org/10.1016/j. engfailanal.2015.08.013.
[14] D.S. Shah, V.N. Patel, A dynamic model for vibration studies of dry and lubricated deep groove ball bearings considering local defects on races, Measurement 137 (2019) 535–555, https://doi.org/10.1016/j.measurement.2019.01.097.
[15] Z. Shi, J. Liu, An improved planar dynamic model for vibration analysis of a cylindrical roller bearing, Mech. Mach. Theory 153 (2020), 103994, https://doi. org/10.1016/j.mechmachtheory.2020.103994.
How to Cite
Mandakini, S., & Bhagwat, R. (2022). Fault Diagnosis of Rolling Contact Bearing by using ANN and SVM techniques. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 8(1), 126-134. https://doi.org/10.33130/AJCT.2022v08i01.019

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.