Skip to main content
Log in

Current status and prospects of reliability systems engineering in China

  • Review Article
  • Published:
Frontiers of Engineering Management Aims and scope Submit manuscript

Abstract

This study provides a systematic overview of the advent and evolution of reliability systems engineering (RSE) in China, and the latest RSE development, that is, model-based RSE (MBRSE), is emphatically introduced. The establishment of the system architecture and conceptual models of MBRSE is first described. The fundamental theory and methodology of MBRSE are then elaborated, with a V-model as the core of this approach. The development of various MBRSE platforms and the effectiveness of their implementation over the past 30 years are presented. 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 article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Blanchard B S, Fabrycky W J (1990). Systems Engineering and Analysis, 4th ed. Englewood Cliffs, NJ: Prentice Hall

    Google Scholar 

  • Che H Y, Zeng S K, Guo J B (2019). Reliability assessment of man-machine systems subject to mutually dependent machine degradation and human errors. Reliability Engineering & System Safety, 190: 106504

    Article  Google Scholar 

  • Cusumano M A (2021). Boeing’s 737 MAX: A failure of management, not just technology. Communications of the ACM, 64(1): 22–25

    Article  MathSciNet  Google Scholar 

  • Fan D M, Wang Z L, Liu L L, Ren Y (2016). A modified GO-FLOW methodology with common cause failure based on discrete time Bayesian network. Nuclear Engineering and Design, 305: 476–488

    Article  Google Scholar 

  • Feng Q, Hai X S, Huang B Q, Zuo Z, Ren Y, Sun B, Yang D Z (2019). An agent-based reliability and performance modeling approach for multistate complex human-machine systems with dynamic behavior. IEEE Access, 7: 135300–135311

    Article  Google Scholar 

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

    Google Scholar 

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

    MathSciNet  Google Scholar 

  • Kang R, Wang Z L (2007). Overview of quality management of the full system, full characteristics, and full process of product. Technology Foundation of National Defense, (4): 25–29 (in Chinese)

  • Kuo W (2015). Risk and reliability are part of our life. In: Proceedings of 1st International Conference on Reliability Systems Engineering (ICRSE). Beijing: IEEE Press, 1–6

    Google Scholar 

  • Li Y, Sun B, Wang Z L, Ren Y (2017). Ontology-based environmental effectiveness knowledge application system for optimal reliability design. Journal of Computing and Information Science in Engineering, 17(1): 011005

    Article  Google Scholar 

  • Li Y R, Peng S Z, Li Y T, Jiang W (2020). A review of condition-based maintenance: Its prognostic and operational aspects. Frontiers of Engineering Management, 7(3): 323–334

    Article  Google Scholar 

  • Li Z F, Ren Y, Liu L L, Wang Z L (2015). Parallel algorithm for finding modules of large-scale coherent fault trees. Microelectronics Reliability, 55(9–10): 1400–1403

    Article  Google Scholar 

  • Liu L L, Fan D M, Wang Z L, Yang D Z, Cui J J, Ma X R, Ren Y (2019). Enhanced GO methodology to support failure mode, effects and criticality analysis. Journal of Intelligent Manufacturing, 30(3): 1451–1468

    Article  Google Scholar 

  • Oestern H J, Huels B, Quirini W, Pohlemann T (2000). Facts about the disaster at Eschede. Journal of Orthopaedic Trauma, 14(4): 287–290

    Article  Google Scholar 

  • Qian C, Sun Z Q, Fan J J, Ren Y, Sun B, Feng Q, Yang D Z, Wang Z L (2020). Characterization and reconstruction for stochastically distributed void morphology in nano-silver sintered joints. Materials & Design, 196: 109079

    Article  Google Scholar 

  • Ren Y, Fan D M, Feng Q, Wang Z L, Sun B, Yang D Z (2019). Agent-based restoration approach for reliability with load balancing on smart grids. Applied Energy, 249: 46–57

    Article  Google Scholar 

  • Ren Y, Fan D M, Ma X R, Wang Z L, Feng Q, Yang D Z (2018a). A GO-FLOW 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 

  • Ren Y, Fan D M, Wang Z L, Yang D Z, Feng Q, Sun B, Liu L L (2018b). System dynamic behavior modeling based on extended GO methodology. IEEE Access, 6: 22513–22523

    Article  Google Scholar 

  • Ren Y, Wang Z L, Yang D Z, Feng Q, Sun B (2021). Model-based Reliability Systems Engineering. Beijing: National Defense Industry Press (in Chinese)

    Google Scholar 

  • Shi S Y (2007). Chinese Military Encyclopedia—General Introduction to Military Technology. Beijing: Encyclopedia of China Publishing House (in Chinese)

    Google Scholar 

  • Si S B, Zhao J B, Cai Z Q, Dui H Y (2020). Recent advances in system reliability optimization driven by importance measures. Frontiers of Engineering Management, 7(3): 335–358

    Article  Google Scholar 

  • Smith M S (2003). NASA’s space shuttle Columbia: Synopsis of the report of the Columbia Accident Investigation Board. Washington, DC: Congressional Research Service, The Library of Congress

    Google Scholar 

  • Sohlenius G (1992). Concurrent engineering. CIRP Annals, 41(2): 645–655

    Article  Google Scholar 

  • Sun B, Pan W Y, Wang Z L, Yung K C (2015). Envelope probability and EFAST-based sensitivity analysis method for electronic prognostic uncertainty quantification. Microelectronics Reliability, 55(9–10): 1384–1390

    Article  Google Scholar 

  • Thornton A C, Donnelly S, Ertan B (2000). More than just robust design: Why product development organizations still contend with variation and its impact on quality. Research in Engineering Design, 12(3): 127–143

    Article  Google Scholar 

  • Tian Y, Ma J, Lu C, Wang Z L (2015). Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine. Mechanism and Machine Theory, 90: 175–186

    Article  Google Scholar 

  • Wang Z L, Cui Y Q, Shi J Y (2017). A framework of discrete-event simulation modeling for prognostics and health management (PHM) in airline industry. IEEE Systems Journal, 11(4): 2227–2238

    Article  Google Scholar 

  • Wang Z, Kang R, Xie L Y (2009). Dynamic reliability modeling of systems with common cause failure under random load. Maintenance and Reliability, 43(3): 47–54

    Google Scholar 

  • Wu Q L, Feng Q, Ren Y, Xia Q, Wang Z L, Cai B P (2021). An intelligent preventive maintenance method based on reinforcement learning for battery energy storage systems. IEEE Transactions on Industrial Informatics, in press, doi:https://doi.org/10.1109/TII.2021.3066257

  • Wu Z Y, Wang Z L, Feng Q, Sun B, Qian C, Ren Y, Jiang X (2018). A gamma process-based prognostics method for CCT shift of highpower white LEDs. IEEE Transactions on Electron Devices, 65(7): 2909–2916

    Article  Google Scholar 

  • Xia Q, Wang Z L, 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. Journal of Power Sources, 386: 10–20

    Article  Google Scholar 

  • Yang D Z, Ren Y, Wang Z L, Liu L L (2012). Decision-making of failure modes mitigation program considering coupling relationship among failure modes. Journal of Beijing University of Aeronautics and Astronautics, 38(10): 1389–1394 (in Chinese)

    Google Scholar 

  • Yang D Z, Ren Y, Wang Z L, Liu L L, Sun B (2015). A novel logic-based approach for failure modes mitigation control and quantitative system reliability analyses. Maintenance and Reliability, 17(1): 100–106

    Article  Google Scholar 

  • Yang D Z, Ren Y, Wang Z L, Xiao J (2014). Design-in of reliability through axiomatic design. Journal of Beijing University of Aeronautics and Astronautics, 40(1): 63–68 (in Chinese)

    Google Scholar 

  • Yang S L, Wang J M, Shi L Y, Tan Y J, Qiao F (2018a). Engineering management for high-end equipment intelligent manufacturing. Frontiers of Engineering Management, 5(4): 420–450

    Article  Google Scholar 

  • Yang W M (1995). Overview of Reliability, Maintainability and Supportability. Beijing: National Defense Industry Press (in Chinese)

    Google Scholar 

  • Yang W M, Ruan L, Tu Q C (1995). Reliability systems engineering—theory and practice. Acta Aeronautica et Astronautica Sinica, 16(S1): 1–8 (in Chinese)

    Google Scholar 

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

    Article  Google Scholar 

  • Yu Y (2019). Low-carbon technology calls for comprehensive electricity-market redesign. Frontiers of Engineering Management, 6(1): 128–130

    Article  Google Scholar 

  • Zhao Q, Jia X, Cheng Z J, Guo B (2018). Bayes estimation of residual life by fusing multisource information. Frontiers of Engineering Management, 5(4): 524–532

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zili Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z. Current status and prospects of reliability systems engineering in China. Front. Eng. Manag. 8, 492–502 (2021). https://doi.org/10.1007/s42524-021-0172-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42524-021-0172-2

Keywords

Navigation