Skip to main content

Current Status and Prospects of Reliability Systems Engineering in China

  • Chapter
  • First Online:
Advances in Reliability and Maintainability Methods and Engineering Applications

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

  • 586 Accesses

Abstract

This chapter provides a systematic overview of the introduction and evolution of reliability systems engineering (RSE) in China, and the latest RSE development, including model-based RSE (MBRSE) and Reliability Digital Twin (RDT), are emphatically introduced. The chapter summarizes the establishment of the system architecture and conceptual models of MBRSE, fundamental theory and methodology of MBRSE with a V-model as the core of this approach, development of the MBRSE platform and RDT and the effectiveness of their implementations. Finally, the prospective trends in the development of RSE in China are outlined.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Kuo W (2015) Risk and reliability are part of our life. In: Proceedings of 1st international conference on reliability systems engineering (ICRSE). IEEE Press, Beijing, pp 1–6

    Google Scholar 

  2. Yang SL, Wang JM, Shi LY, Tan YJ, Qiao F (2018) Engineering management for high-end equipment intelligent manufacturing. Front Eng Manage 5(4):420–450

    Article  Google Scholar 

  3. Yu Y (2019) Low-carbon technology calls for comprehensive electricity-market redesign. Front Eng Manage 6(1):128–130

    Article  Google Scholar 

  4. Si SB, Zhao JB, Cai ZQ, Dui HY (2020) Recent advances in system reliability optimization driven by importance measures. Front Eng Manage 7(3):335–358

    Article  Google Scholar 

  5. Oestern HJ, Huels B, Quirini W, Pohlemann T (2000) Facts about the disaster at Eschede. J Orthop Trauma 14(4):287–290

    Article  Google Scholar 

  6. Smith MS (2003) NASA’s space shuttle Columbia: synopsis of the report of the Columbia Accident Investigation Board. Congressional Research Service, The Library of Congress, Washington, DC

    Google Scholar 

  7. Cusumano MA (2021) Boeing’s 737 MAX: a failure of management, not just technology. Commun ACM 64(1):22–25

    Article  MathSciNet  Google Scholar 

  8. Blanchard BS, Fabrycky WJ (1990) Systems engineering and analysis, 4th edn. Prentice Hall, Englewood Cliffs, NJ

    Google Scholar 

  9. Sohlenius G (1992) Concurrent engineering. CIRP Ann 41(2):645–655

    Article  Google Scholar 

  10. Kaâniche M, Laprie JC, Blanquart JP (2000) Dependability engineering of complex computing systems. In: Proceedings of 6th International Conference on Engineering of Complex Computer Systems September. IEEE Press, Tokyo, pp 36–46

    Google Scholar 

  11. Thornton AC, Donnelly S, Ertan B (2000) More than just robust design: Why product development organizations still contend with variation and its impact on quality. Res Eng Design 12(3):127–143

    Article  Google Scholar 

  12. Yang WM, Ruan L, Tu QC (1995) Reliability systems engineering—Theory and practice. Acta Aeronautica et Astronautica Sinica 16(S1):1–8 (in Chinese)

    Google Scholar 

  13. Yang WM (1995) Overview of reliability, maintainability and supportability. National Defense Industry Press, Beijing (in Chinese)

    Google Scholar 

  14. Kang R, Wang ZL (2005) Framework of theory and technique about reliability systems engineering. Acta Aeronautica et Astronautica Sinica 26(5):633–636 (in Chinese)

    Google Scholar 

  15. Kang R, Wang ZL (2007) Overview of quality management of the full system, full characteristics, and full process of product. Technol Foundation Natl Defense 4:25–29 (in Chinese)

    Google Scholar 

  16. Shi SY (2007) Chinese Military Encyclopedia—General introduction to military technology. Encyclopedia of China Publishing House, Beijing (in Chinese)

    Google Scholar 

  17. Ren Y, Wang ZL, Yang DZ, Feng Q, Sun B (2021) Model-based reliability systems engineering. National Defense Industry Press, Beijing (in Chinese)

    Google Scholar 

  18. Li Y, Sun B, Wang ZL, Ren Y (2017) Ontology-based environmental effectiveness knowledge application system for optimal reliability design. J Comput Inf Sci Eng 17(1):011005

    Article  Google Scholar 

  19. Zhao Q, Jia X, Cheng ZJ, Guo B (2018) Bayes estimation of residual life by fusing multisource information. Front Eng Manage 5(4):524–532

    Article  Google Scholar 

  20. Wu ZY, Wang ZL, Feng Q, Sun B, Qian C, Ren Y, Jiang X (2018) A gamma process-based prognostics method for CCT shift of high power white LEDs. IEEE Trans Electron Devices 65(7):2909–2916

    Article  Google Scholar 

  21. Xia Q, Wang ZL, Ren Y, Sun B, Yang D, Feng Q (2018) A reliability design method for a lithium-ion battery pack considering the thermal disequilibrium in electric vehicles. J Power Sources 386:10–20

    Article  Google Scholar 

  22. Fan DM, Wang ZL, Liu LL, Ren Y (2016) A modified GO-FLOW methodology with common cause failure based on discrete time Bayesian network. Nucl Eng Des 305:476–488

    Article  Google Scholar 

  23. Ren Y, Fan DM, Ma XR, Wang ZL, Feng Q, Yang DZ (2018) A GOFLOW and dynamic Bayesian network combination approach for reliability evaluation with uncertainty: a case study on a Nuclear Power Plant. IEEE Access 6:7177–7189

    Article  Google Scholar 

  24. Yang X, Sun B, Wang ZL, Qian C, Ren Y, Yang DZ, Feng Q (2018) An alternative lifetime model for white light emitting diodes under thermal-electrical stresses. Materials 11(5):817–828

    Article  Google Scholar 

  25. Qian C, Sun ZQ, Fan JJ, Ren Y, Sun B, Feng Q, Yang DZ, Wang ZL (2020) Characterization and reconstruction for stochastically distributed void morphology in nano-silver sintered joints. Mater Des 196:109079

    Article  Google Scholar 

  26. Wang Z, Kang R, Xie LY (2009) Dynamic reliability modeling of systems with common cause failure under random load. Maintenance Reliab 43(3):47–54

    Google Scholar 

  27. Yang DZ, Ren Y, Wang ZL, Liu LL, Sun B (2015) A novel logic-based approach for failure modes mitigation control and quantitative system reliability analyses. Maintenance Reliab 17(1):100–106

    Article  Google Scholar 

  28. Che HY, Zeng SK, Guo JB (2019) Reliability assessment of man–machine systems subject to mutually dependent machine degradation and human errors. Reliab Eng Syst Saf 190:106504

    Article  Google Scholar 

  29. Yang DZ, Ren Y, Wang ZL, Xiao J (2014) Design-in of reliability through axiomatic design. J Beijing Univ Aeronaut Astronaut 40(1):63–68 (in Chinese)

    Google Scholar 

  30. Tian Y, Ma J, Lu C, Wang ZL (2015) Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine. Mech Mach Theory 90:175–186

    Article  Google Scholar 

  31. Wang ZL, Cui YQ, Shi JY (2017) A framework of discrete-event simulation modeling for prognostics and health management (PHM) in airline industry. IEEE Syst J 11(4):2227–2238

    Article  Google Scholar 

  32. Yang DZ, Ren Y, Wang ZL, Liu LL (2012) Decision-making of failure modes mitigation program considering coupling relationship among failure modes. J Beijing Univ Aeronaut Astronaut 38(10):1389–1394 (in Chinese)

    Google Scholar 

  33. Li ZF, Ren Y, Liu LL, Wang ZL (2015) Parallel algorithm for finding modules of large-scale coherent fault trees. Microelectron Reliab 55(9–10):1400–1403

    Article  Google Scholar 

  34. Ren Y, Fan DM, Wang ZL, Yang DZ, Feng Q, Sun B, Liu LL (2018) System dynamic behavior modeling based on extended GO methodology. IEEE Access 6:22513–22523

    Article  Google Scholar 

  35. Sun B, Pan WY, Wang ZL, Yung KC (2015) Envelope probability and EFAST-based sensitivity analysis method for electronic prognostic uncertainty quantification. Microelectron Reliab 55(9–10):1384–1390

    Article  Google Scholar 

  36. Liu LL, Fan DM, Wang ZL, Yang DZ, Cui JJ, Ma XR, Ren Y (2019) Enhanced GO methodology to support failure mode, effects and criticality analysis. J Intell Manuf 30(3):1451–1468

    Article  Google Scholar 

  37. Li YR, Peng SZ, Li YT, Jiang W (2020) A review of condition-based maintenance: Its prognostic and operational aspects. Front Eng Manage 7(3):323–334

    Article  Google Scholar 

  38. Wu QL, Feng Q, Ren Y, Xia Q, Wang ZL, Cai BP (2021) An intelligent preventive maintenance method based on reinforcement learning for battery energy storage systems. IEEE Trans Ind Inform. https://doi.org/10.1109/TII.2021.3066257. (in press)

    Article  Google Scholar 

  39. Grieves M (2014) Digital twin: manufacturing excellence through virtual factory replication. In: Digital twin white paper

    Google Scholar 

  40. Glaessgen E, Stargel D (2012) The digital twin paradigm for future NASA and U.S. air force vehicles. In: 53rd structures, structural dynamics, and materials conference. Honolulu, Hawaii, pp 1–14

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cheng Qian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Ren, Y., Feng, Q., Qian, C., Yang, D., Wang, Z. (2023). Current Status and Prospects of Reliability Systems Engineering in China. In: Liu, Y., Wang, D., Mi, J., Li, H. (eds) Advances in Reliability and Maintainability Methods and Engineering Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-28859-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-28859-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28858-6

  • Online ISBN: 978-3-031-28859-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics