Skip to main content

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

  • 396 Accesses

Abstract

The aim of predictive maintenance (PdM) or often referred as condition-based maintenance (CBM) is to perform a scheduled maintenance before failure occurred on the equipment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. General Information (1) on Predictive Maintenance (2019) Available at: https://www.advancedtech.com/wp-content/uploads/2017/11/PDM-Condition-Monitoring.pdf. Retrieved date: 13 February 2019

  2. General Information (2) on Predictive Maintenance (2019) Available at: https://www.fiixsoftware.com/maintenance-strategies/predictive-maintenance/. Retrieved date: 20 April 2019

  3. General Information (3) on Predictive Maintenance (2019) Available at: https://www.reliableplant.com/Read/12495/preventive-predictive-maintenance. Retrieved date: 20 April 2019

  4. General Information (1) on Reliability Centered Maintenance (2019) Available at: https://inspectioneering.com/tag/reliability+centered+maintenance. Retrieved date: 13 February 2019

  5. General Information (2) on Reliability Centered maintenance (2019) Available at: https://www.weibull.com/basics/rcm.htm. Retrieved date: 13 February 2019

  6. General Information (3) on Reliability Centered Maintenance (2019) Available at: https://fas.org/sgp/crs/misc/R44776.pdf. Retrieved date: 13 February 2019

  7. Moubray J (1997) Reliability-centered maintenance second edition. Industrial Press. ISBN-10: 0831131462, ISBN-13: 978-0831131463

    Google Scholar 

  8. Susto GA, Schirru A, Pampuri S, McLoone S, Beghi A (2015) Machine learning for predictive maintenance: A multiple classifiers approach. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2014.2349359 11(3):812–820

  9. Bakri A, Rahim AR, Yusof M (2014) Maintenance management: Rationale of TPM as the research focus. In: Applied Mechanics and Materials, Vol. 670. Trans Tech Publications Ltd, pp 1575–1582

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Adnan Bakri .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bakri, A., Mohd Szali Januddi, MF. (2020). Advancement in Maintenance Technology. In: Systematic Industrial Maintenance to Boost the Quality Management Programs. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-46586-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-46586-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46585-8

  • Online ISBN: 978-3-030-46586-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics