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The Fundamentals of, and the Application of Computers to, Condition Monitoring and Predictive Maintenance

  • Jason Tranter

Abstract

Machine condition monitoring can play a major role in plant maintenance. However, to take advantage of this relatively new maintenance strategy, it is necessary to have an understanding of the technology involved. After a brief discussion of predictive maintenance theory, and a summary of different techniques, this paper discusses a number of vibration based techniques used to predict machine condition. The application of computers is then discussed, illustrating the increased efficiency and flexibility that can be achieved.

Keywords

Machine Condition Condition Monitoring Vibration Signal Ball Diameter Fault Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Stronach, A.F. et al; Condition Monitoring of Rolling Element Bearings; Condition Monitoring ‘84; Pineridge Press Ltd; United Kingdom; 1984.Google Scholar
  2. 2.
    Martins, L.G. & Garges, S.N.Y.; Comparison Between Signal Analyses for Detecting Insipient Bearing Damage; Condition Monitoring ‘84; Pineridge Press Ltd; United Kingdom; 1984.Google Scholar
  3. 3.
    Randall, R.B. & Hee, J.; Cepstrum Analysis: Machine Condition Monitoring and Fault Diagnosis; University of Adelaide, Australia; June 1987.Google Scholar
  4. 4.
    Alfredson, R.J. & Mathew, J.; The Condition Monitoring of Rolling Element Bearings Using Vibration Analysis; The American Society of Mechanical Engineers; Publication Number 83-WA/NCA-1; June 1983.Google Scholar

Copyright information

© Kogan Page Ltd. 1989

Authors and Affiliations

  • Jason Tranter
    • 1
  1. 1.ARGO Software Integration P/LMelbourneAustralia

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