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Low Speed Bearing Condition Monitoring: A Case Study

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Engineering Asset Management 2016

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The health condition of worm-wheel gearboxes is critical for the reliable and continuous operation of passenger escalators. Vibration sessors have been widely installed in such gearboxes and vibration levels are usually utilized as health indicators. However, the measurement of vibration levels is not robust in slow speed bearing condition monitoring. In this paper, the health condition of two slow speed bearings were evaluated using vibration data collected from sensors installed in the shaft of a worm wheel gearbox. It has been shown that the vibration level fails to indicate the bearing health condition. The assessment accuracy can be improved by combining several simple methods.

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References

  1. Elforjani M, Mba D (2008) Monitoring the onset and propagation of natural degradation process in a slow speed rolling element bearing with acoustic Emissions. J Vib Acoust, Trans ASME 130:041013

    Article  Google Scholar 

  2. Elforjani M, Charnley B, Mba D (2010) Observations of a naturally degrading slow speed shaft. Nondestruct Test Eval 25(4):267–278

    Article  Google Scholar 

  3. Mba D, Jamaludin N (2002a) Monitoring extremely slow rolling element bearings: part-I. NDT & E Int 35(6):349–358

    Article  Google Scholar 

  4. Mba D, Jamaludin N (2002b) Monitoring extremely slow rolling element bearings: part II. NDT & E Int 35(6):359–366

    Article  Google Scholar 

  5. Berry JE (1992) Required vibration analysis techniques and instrumentation on low speed machines (particularly 30 to 300 rpm machinery). In: Advanced vibration diagnostic and reduction techniques. Technical Associates of Charlotte Inc, Charlotte

    Google Scholar 

  6. Canada RG, Robinson JC (1995) Vibration measurements on slow speed machinery. In: Proceedings of National Conference on Predictive Maintenance Technology (P/PM Technology), vol 8, no 6. Indianapolis, Indiana, pp 33–37

    Google Scholar 

  7. Kuboyama K (1997) Development of low speed bearing diagnosis technique. NKK/Fukuyama Works, Fukuyama

    Google Scholar 

  8. Robinson JC, Canada RG, Piety RG (1996) Vibration monitoring on slow speed machinery: new methodologies covering machinery from 0.5 to 600 rpm. In: Proceedings of the Fifth International Conference on Profitable Condition Monitoring-Fluids and Machinery Performance Monitoring, BHR Group Publication (BHR Group, Cranfield), vol 22, pp 169–182

    Google Scholar 

  9. Alan D (1998) Handbook of the condition monitoring techniques and methodology. Chapman and Hall, London

    Google Scholar 

  10. Vahaoja P, Lahdelma S, Leinonen J (2006) On the condition monitoring of worm gears. Springer, London, pp 332–343

    Google Scholar 

  11. Elasha F, Ruiz-Cárcel C, Mba D, Kiat G, Nze I, Yebra G (2014) Pitting detection in worm gearboxes with vibration analysis. Eng Fail Anal 42:366–376

    Article  Google Scholar 

  12. Elforjani M, Mba D, Muhammad A, Sire A (2012) Condition monitoring of worm gears. Appl Acoust 73(8):859–863

    Article  Google Scholar 

  13. Jamaludin N, Mba D, Bannister RH (2001) Condition monitoring of slow-speed rolling element bearings using stress waves. J Process Mech Eng 215(E4):245–271

    Article  Google Scholar 

  14. Jamaludin N, Mba D, Bannister RH (2002) Monitoring the lubricant condition in a low-speed rolling element bearing using high frequency stress waves. J Process Mech Eng 216(E):73–88

    Article  Google Scholar 

  15. Mba D, Bannister RH, Findlay GE (1999a) Condition monitoring of low-speed rotating machinery using Stress Waves: part I. Pro Inst Mech Eng 213(E):153–185

    Article  Google Scholar 

  16. Mba D (2002) Applicability of acoustic emissions to monitoring the mechanical integrity of bolted structures in low speed rotating machinery: case study. NDT & E Int 35(5):293–300

    Article  Google Scholar 

  17. Mba D, Bannister RH, Findlay GE (1999b) Condition monitoring of low-speed rotating machinery using Stress Waves: Part II. Pro Inst Mech Eng 213:153–185

    Article  Google Scholar 

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Correspondence to Fang Duan .

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Duan, F., Nze, I., Mba, D. (2018). Low Speed Bearing Condition Monitoring: A Case Study. In: Zuo, M., Ma, L., Mathew, J., Huang, HZ. (eds) Engineering Asset Management 2016. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-62274-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-62274-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62273-6

  • Online ISBN: 978-3-319-62274-3

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