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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
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
Yu Y (2019) Low-carbon technology calls for comprehensive electricity-market redesign. Front Eng Manage 6(1):128–130
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
Oestern HJ, Huels B, Quirini W, Pohlemann T (2000) Facts about the disaster at Eschede. J Orthop Trauma 14(4):287–290
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
Cusumano MA (2021) Boeing’s 737 MAX: a failure of management, not just technology. Commun ACM 64(1):22–25
Blanchard BS, Fabrycky WJ (1990) Systems engineering and analysis, 4th edn. Prentice Hall, Englewood Cliffs, NJ
Sohlenius G (1992) Concurrent engineering. CIRP Ann 41(2):645–655
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
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
Yang WM, Ruan L, Tu QC (1995) Reliability systems engineering—Theory and practice. Acta Aeronautica et Astronautica Sinica 16(S1):1–8 (in Chinese)
Yang WM (1995) Overview of reliability, maintainability and supportability. National Defense Industry Press, Beijing (in Chinese)
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)
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)
Shi SY (2007) Chinese Military Encyclopedia—General introduction to military technology. Encyclopedia of China Publishing House, Beijing (in Chinese)
Ren Y, Wang ZL, Yang DZ, Feng Q, Sun B (2021) Model-based reliability systems engineering. National Defense Industry Press, Beijing (in Chinese)
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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)
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
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
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
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
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
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)
Grieves M (2014) Digital twin: manufacturing excellence through virtual factory replication. In: Digital twin white paper
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
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)