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Multi-level Hierarchical Reliability Model of Technical Systems: Theory and Application

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Advances in Reliability Analysis and its Applications

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

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Abstract

This chapter describes an assessment methodology for various sustainability indicators of technical systems, such as reliability, availability, fault tolerance, and reliability associated cost of technical safety-critical systems, based on Multi-Level Hierarchical Reliability Model (MLHRM). As an application case of the proposed methodology, the various sustainability indicators of electric vehicle propulsion systems are considered and evaluated on the different levels of the hierarchical model. Taking into account that vehicle traction drive systems are safety-critical systems, the strict requirements on reliability indices are imposed to each of their components. The practical application of the proposed technique for reliability oriented development of electric propulsion system for the search-and-rescue helicopter and icebreaker LNG tanker and the results of computation are presented. The opportunities of improvement regarding reliability and fault tolerance of such technical systems are investigated. The results of the study, allowing creating highly reliable technical systems for the specified operating conditions and choosing the most appropriate system design, are discussed in detail.

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References

  1. Bani-Mustafa T, Pedroni N, Zio E, Vasseur D, Beaudouin F (2017) A hierarchical tree-based decision making approach for assessing the trustworthiness of risk assessment models. In: Proceedings of the international topical meeting on probabilistic safety assessment and analysis (PSA’17), 24th–28th Sept 2017, Pittsburgh, PA, pp 314–323

    Google Scholar 

  2. Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci (IJSSci) 1(1):83–98

    Article  Google Scholar 

  3. Ziemba P (2019) Inter-criteria dependencies-based decision support in the sustainable wind energy management. Energies 12(749):1–29

    Article  Google Scholar 

  4. Ganji SRS, Rassafi AA, Kordani AA (2018) Vehicle safety analysis based on a hybrid approach integrating DEMATEL, ANP and ER. KSCE J Civ Eng 22(11):4580–4592

    Article  Google Scholar 

  5. Brown RE, Gupta S, Christie RD, Venkata SS, Fletcher R (1996) Distribution system reliability assessment using hierarchical markov modeling. IEEE Trans Power Delivery 11(4):1929–1934

    Article  Google Scholar 

  6. Ataie E, Entezari-Maleki R, Rashidi L, Trivedi KS, Ardagna D, Movaghar A (2017) Hierarchical stochastic models for performance, availability, and power consumption analysis of IaaS clouds. IEEE Trans Cloud Comput 1–18

    Google Scholar 

  7. Nam T, Mavris DN (2018) Multistage reliability-based design optimization and application to aircraft conceptual design. J Aircr 1–15

    Google Scholar 

  8. Paulson EJ, Starkey RP (2013) Development of a multistage reliability-based design optimization method. J Mech Des 136(1):1–8

    Google Scholar 

  9. Wikström P, Terens LA, Kobi H (2000) Reliability, availability, and maintainability of high-power variable-speed drive systems. IEEE Trans Ind Appl 36(1):231–241

    Article  Google Scholar 

  10. Bolvashenkov I, Kammermann J, Herzog H-G (2016) Research on reliability and fault tolerance of multi-phase traction electric motors based on markov models for multi-state systems. In: Proceedings of 23rd international IEEE symposium on power electronics, electrical drives, automation and motion (SPEEDAM), 22th–24th June 2016, Anacapri, Italy, pp 1–6

    Google Scholar 

  11. Linkov I, Fox-Lent C, Read L, et al (2018) Tiered approach to resilience assessment. J Risk Anal 1–9. https://doi.org/10.1111/risa.12991

    Article  Google Scholar 

  12. Woo S, O’Neal DL (2019) Reliability design and case study of mechanical system like a hinge kit system in refrigerator subjected to repetitive stresses. Eng Fail Anal 99:319–329

    Article  Google Scholar 

  13. Xiao N, Huang N-Z, Li Y, He L, Jin T (2011) Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Eng Fail Anal 18:1162–1170

    Article  Google Scholar 

  14. Ding Y, Lin Y, Peng R, Zuo MJ (2019) Approximate reliability evaluation of large-scale multistate series-parallel systems. IEEE Trans Reliab 1–15

    Google Scholar 

  15. Xuy X, Liz Z, Chen N (2016) A hierarchical model for lithium-ion battery degradation prediction. IEEE Trans Reliab 65(1):310–325

    Article  Google Scholar 

  16. Abbas M, Vachtsevanos GJ (2009) A system-level approach to fault progression analysis in complex engineering systems. In: Proceedings of annual conference of the prognostics and health management society, 27 Sept–1 Oct 2009, San Diego, CA, pp 1–7

    Google Scholar 

  17. Gomes JPP, Rodrigues LR, Galvão RKH, Yoneyama T (2013) System level RUL estimation for multiple-component systems. In: Proceedings of annual conference of the prognostics and health management society, 14th–17th Oct 2013, New Orleans, LA, USA, pp 1–9

    Google Scholar 

  18. Rodrigues LR (2017) Remaining useful life prediction for multiple-component systems based on a system-level performance indicator. IEEE/ASME Trans Mechatron 1–10

    Google Scholar 

  19. Bolvashenkov I, Kammermann J, Willerich S, Herzog H-G (2016) Comparative study of reliability and fault tolerance of multi-phase permanent magnet synchronous motors for safety-critical drive trains. In: Proceedings of the international conference on renewable energies and power quality (ICREPQ’16), 4th–6th May, Madrid, Spain, pp 1–6

    Google Scholar 

  20. Bolvashenkov I, Herzog H-G, Frenkel I, Khvatskin L, Lisnianski A (2018) Safety-critical electrical drives: topologies, reliability, performance. Springer, Berlin

    Book  Google Scholar 

  21. Bolvashenkov I, Kammermann J, Willerich S, Herzog H-G (2015) Comparative study for the optimal choice of electric traction motors for a helicopter drive train. In: Proceedings of the 10th conference on sustainable development of energy, water and environment systems (SDEWES’15), 27th Sept–3rd Oct 2015, Dubrovnik, Croatia, pp 1–15

    Google Scholar 

  22. Kammermann J, Bolvashenkov I, Herzog H-G (2017) Reliability of induction machines: statistics, tendencies, and perspectives. In: Proceedings of 26th IEEE international symposium on industrial electronics (ISIE), 19th–21th June 2017, Edinburgh, UK, pp 1843–1847

    Google Scholar 

  23. Bolvashenkov I, Frenkel I, Kammermann J, Herzog HG (2017) Comparison of the battery energy storage and fuel cell energy source for the safety-critical drives considering reliability and fault tolerance. In: Proceedings of IEEE international conference on information and digital technologies (IDT), 5th–7th July 2017, Žilina, Slovakia, pp 63–70

    Google Scholar 

  24. Bolvashenkov I, Kammermann J, Herzog H-G (2016) Methodology for determining the transition probabilities for multi-state system markov models of fault tolerant electric vehicles. In: Proceedings of the Asian IEEE conference on energy, power and transportation electrification, 25th–27th Oct 2016, Singapore, pp 1–6

    Google Scholar 

  25. Bolvashenkov I, Kammermann J, Herzog HG, Frenkel I (2019) Operational availability and performance analysis of the multi-drive multi-motor electric propulsion system of an icebreaker gas tanker for Arctic. In: Proceedings of IEEE 14th international conference on ecological vehicles and renewable energies (EVER’19), 8th–10th May 2019, Monaco, pp 1–6

    Google Scholar 

  26. Bolvashenkov I, Kammermann J, Herzog H-G, Frenkel I, Ikar E, Khvatskin L (2017) Investigation of reliability and fault tolerance of multiphase traction electric motor supplied with multi power source based on Lz-transform. In: Proceedings of IEEE international conference on system reliability and safety (ICSRS’17), 20th–22th Dec 2017, Milano, Italy, pp 303–309

    Google Scholar 

  27. Bolvashenkov I, Herzog H-G (2016) Use of stochastic models for operational efficiency analysis of multi power source traction drives. In: Proceedings of the second IEEE international symposium on stochastic models in reliability engineering, life science and operations management, (SMRLO), 15th–18th Feb 2016, Beer Sheva, Israel, pp 124–130

    Google Scholar 

  28. Frenkel I, Bolvashenkov I, Herzog H-G, Khvatskin L (2017) Operational sustainability assessment of multi power source traction drive. In: Ram M, Davim JP (eds) Mathematics applied to engineering. Elsevier, London, UK, pp 191–203

    Chapter  Google Scholar 

  29. Bolvashenkov I, Kammermann J, Herzog H-G, Frenkel I (2017) Fault tolerance assessment of multi-motor electrical drives with multi-phase traction motors based on LZ-transform. In: Proceedings of IEEE 14th international conference on ecological vehicles and renewable energies (EVER’19), 8th–10th May 2019, Monaco, pp 1–6

    Google Scholar 

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Correspondence to Igor Bolvashenkov .

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Bolvashenkov, I., Kammermann, J., Frenkel, I., Herzog, HG. (2020). Multi-level Hierarchical Reliability Model of Technical Systems: Theory and Application. In: Ram, M., Pham, H. (eds) Advances in Reliability Analysis and its Applications. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31375-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-31375-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31374-6

  • Online ISBN: 978-3-030-31375-3

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