Skip to main content

Optimal Inspection Policy for Deteriorated Equipment Based on Life Prediction Information

  • Chapter
  • First Online:
Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment

Abstract

Performance inspection is the most direct and effective method to ensure the reliability of equipment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. Li M, Changhua Hu, Zhou Z et al (2015) Optimal inspection strategy of equipment in store based on degradation data. Syst Eng Electron 37(5):1219–1223

    Google Scholar 

  2. Zhang ZX, Si XS, Hu CH An age-dependent and state-dependent nonlinear prognostic model for degrading systems. IEEE Trans Reliab. https://doi.org/10.1109/TR.2015.2419220

  3. Scarf PA (2007) A framework for condition monitoring and condition based maintenance. Qual Technol Quant Manag 4(2):301–312

    Article  MathSciNet  Google Scholar 

  4. Wang H (2002) A survey of maintenance policies of deteriorating systems. Eur J Oper Res 139:469–489

    Article  Google Scholar 

  5. Pham H, Wang H (1996) Imperfect maintenance. Eur J Oper Res 94:425–438

    Google Scholar 

  6. Dekker R, Wildeman RE, Der V et al (1997) A review of multi-component maintenance models with economic dependence. Math Methods Oper Res 45(3):411–435

    Article  MathSciNet  Google Scholar 

  7. Ito K, Nakagawa T, Nishi K (1995) Extended optimal inspection policies for a system in storage. Math Comput Model 22(10–12):83–87

    Google Scholar 

  8. Ito K, Nakagawa T (1995) An optimal inspection policy for a storage system with high reliability. Microelectron Reliab 36(6):875–882

    Article  Google Scholar 

  9. Ito K, Nakagawa T (2000) Optimal inspection policies for a storage system with degradation at periodic tests. Math Comput Model 31:191–195

    Article  MathSciNet  Google Scholar 

  10. Nakagawa T, Yasui K (1980) Approximate calculation of optimal inspection times. J Oper Res Soc 31:851–853

    Article  Google Scholar 

  11. Nakagawa T, Mizutani S, Chen M (2010) A summary of periodic and random inspection polices. Reliab Eng Syst Saf 95:906–911

    Article  Google Scholar 

  12. Yeh L (1995) An optimal inspection-repair-replacement policy for standby systems. J Appl Probab 32(1):212–223

    Article  MathSciNet  Google Scholar 

  13. Kaio N, Osaki S (1984) Some remarks on optimum inspection policies. IEEE Trans Reliab R(33):277–279

    Google Scholar 

  14. Barlow RE, Hunter LC, Proschan F (1962) Optimum checking procedures. J Soc Ind Apple Math 11:1078–1095

    Google Scholar 

  15. Yang Y, Klutke GA (2000) Improved inspection schemes for deteriorating equipment. Probab Eng Inf Sci 14:445–460

    Article  MathSciNet  Google Scholar 

  16. Yeh RH (1997) Optimal Inspection and replacement policies for multi-state deteriorating systems. Eur J Oper Res 96:248–259

    Article  Google Scholar 

  17. Sugiura T, Mizutani S, Nakawaga T (2006) Optimal random and periodic inspection policies. In: Reliability modeling, analysis and optimization. World Scientific, Singapore, pp 393–403

    Google Scholar 

  18. Zhang Z (2013) Performance degradation mechanism, rule and optimal inspection and decision method of inertial platform. Rocket Force University of Engineering, Xi ‘an

    Google Scholar 

  19. Seal H (1969) Stochastic theory of a risk business. Wiley, New York

    MATH  Google Scholar 

  20. Nakagawa T (2005) Maintenance theory of reliability. Springer, London

    Google Scholar 

  21. Department of Mathematics, Tongji University (1996) Advanced mathematics, vol 2. Higher Education Press, Beijing

    Google Scholar 

  22. Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via EM algorithm. J Roy Stat Soc 39(1):1–38

    MathSciNet  MATH  Google Scholar 

  23. Saralees N (2008) A review of results on sums of random variables. Acta Appl Math 103:131–140

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2022 National Defense Industry Press

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hu, C., Fan, H., Wang, Z. (2022). Optimal Inspection Policy for Deteriorated Equipment Based on Life Prediction Information. In: Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment. Springer, Singapore. https://doi.org/10.1007/978-981-16-2267-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-2267-0_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2266-3

  • Online ISBN: 978-981-16-2267-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics