91. Vibration based condition assessment of ball bearing with distributed defects

Sham Kulkarni1, Anand Bewoor2

1Sinhgad College of Engineering, Vadgaon, Pune, Maharashtra, India

2Cummins College of Engineering for Women, Pune, Maharashtra, India

1Corresponding author

E-mail: 1shamk43@gmail.com, 2anand.bewoor@cumminscollege.in

(Received 13 May 2016; accepted 31 May 2016)

Abstract. The analysis of vibration signals is major technique for condition monitoring of bearing in machine components. Vibration based signal analysis is used for the detection of bearing fault. The present work emphasizes the comparison of some vibration parameters to characterize the distributed defects in the bearing, RMS, Peak and peak to peak which are used in the detection defects in the bearing. These parameters are measured at various load and speeds with simulated defect on bearing parts. This paper also shows the sensitivity of kurtosis in condition monitoring of ball bearing. It has been shown that vibration based monitoring is an effective method for detecting the faults in the bearing.

Keywords: condition monitoring, vibration analysis, ball bearing, defect frequency.

References

[1]        Howard I. A Review of Rolling Element Vibration: Detection, Diagnosis and Prognosis. Technical Report DSTO-RR-0013, Defense Science and Technology Organization, Australia, 1994.

[2]        Tondon N., Choudhary A. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology International, Vol. 32, 1999, p. 469‑480.

[3]        McFadden P. D., Smith J. D. Model for the vibration produced by a single point defect in a rolling element bearing. Journal of Sound and Vibration, Vol. 96, 1984, p. 69‑82.

[4]        Choudhary A., Tondon N. Vibration response rolling element bearings in a rotor bearing system to a local defect under radial load. Journal of Tribology, Vol. 128, Issue 2, 2006, p. 252‑61.

[5]        Singh Sarbjeet, Howard C. An Extensive review of vibration modeling of rolling element bearings with localized and extended defects. Journal of Sound and Vibration, Vol. 357, 2015, p. 300‑330.

[6]        Tondon N., Choudhury A. Theoretical model to predict the vibration response of rolling bearings in a rotor bearing system to distributed defects under radial load. Journal of Tribology, Vol. 122, Issue 3, 2000, p. 609‑615.

[7]        Shah Dipen, Patel Vinod A review of dynamic modeling and fault identifications method for rolling element bearing. Procedia Technology, Vol. 14, 2014, p. 447‑456.

[8]        McFadden P. D., Smith J. D. Vibration monitoring of rolling element bearings by high frequency resonance technique a review. Tribology International, Vol. 17, Issue 1, 1984, p. 3‑10.

[9]        Tondon N. A comparison vibration parameters of the condition monitoring of rolling element bearing. Measurement, Vol. 12, 1994, p. 285‑289.

[10]     Utpat Abhay, Ingle R., Nandgaonkar M. Response of various vibration parameters to the condition monitoring of ball bearing used in centrifugal pumps. Noise and Vibration Worldwide, Vol. 42, Issue 6, 2011, p. 34‑40.

[11]     Dyer D., Stewart R. M. Detection of rolling element bearing damage by statistical vibration analysis. ASME, 1977, p. 26‑30.

[12]     Heng R. B. W., Nor M. J. Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition. Applied Acoustics, Vol. 53, Issues 1‑3, 1998, p. 211‑296.

[13]     Prabhakar S., Mohanty A. R., Sekhar A. S. Application of discrete wavelet transform for detection of ball bearing race faults. Tribology International, Vol. 35, 2002, p. 793‑800.

[14]     Harris T. A. Rolling Bearing Analysis. 4th edition, John Wiley, New York, 2001.

Cite this article

Kulkarni Sham, Bewoor Anand Vibration based condition assessment of ball bearing with distributed defects. Journal of Measurements in Engineering, Vol. 4, Issue 2, 2016, p. 87‑94.

 

Journal of Measurements in Engineering. June 2016, Volume 4, Issue 2

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