REFERENCES
1. Cimellaro GP, Reinhorn AM, Bruneau M. Framework for analytical quantification of disaster resilience. Eng Struct 2010;32:3639-49.
2. Ayyub BM. Practical resilience metrics for planning, design, and decision daking. ASCE-ASME J Risk Uncertainty Eng Syst, Part A: Civ Eng 2015;1:04015008.
3. Fang Y, Pedroni N, Zio E. Optimization of cascade-resilient electrical infrastructures and its validation by power flow modeling. Risk Anal 2015;35:594-607.
4. Bergström J, Van Winsen R, Henriqson E. On the rationale of resilience in the domain of safety: a literature review. Reliab Eng Syst Safe 2015;141:131-41.
5. Hosseini S, Barker K, Ramirez-Marquez JE. A review of definitions and measures of system resilience. Reliab Eng Syst Safe 2016;145:47-61.
6. Sun W, Bocchini P, Davison BD. Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustain Resil Infras 2020;5:168-99.
7. Linkov I, Trump BD. The science and practice of resilience. Springer; 2019.
8. Henry D, Ramirez-Marquez JE. Generic metrics and quantitative approaches for system resilience as a function of time. Reliab Eng Syst Safe 2012;99:114-22.
9. Aven T. Improving the foundation and practice of reliability engineering. Proc Imeche Part O: J Risk And Reliability 2017;231:295-305.
10. Ayyub BM. Systems resilience for multihazard environments: Definition, metrics, and valuation for decision making. Risk analysis 2014;34:340-55.
11. Faturechi R, Miller-Hooks E. Measuring the performance of transportation infrastructure systems in disasters: A comprehensive review. J Infrastruct Syst 2015;21:04014025.
12. Galaitsi S, Keisler JM, Trump BD, Linkov I. The need to reconcile concepts that characterize systems facing threats. Risk Analysis 2021;41:3-15.
13. Klaassen KB, Van Peppen JC. System reliability. VSSD; 2006.
14. Punzo G, Tewari A, Butans E, Vasile M, Purvis A, et al. Engineering resilient complex systems: the necessary shift toward complexity science. IEEE Syst J 2020;14:3865-74.
15. Gilbert S, Ayyub BM. Models for the Economics of Resilience. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2016:2.
16. Fang Y, Sansavini G. Optimizing power system investments and resilience against attacks. Reliab Eng Syst Safe 2017;159: 161–73. Available from: http://dx.doi.org/10.1016/j.ress.2016.10.028.
17. Salomon J, Broggi M, Kruse S, Weber S, Beer M. Resilience decision-making for complex systems. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg 2020:6.
18. Singh RR, Bruneau M, Stavridis A, Sett K. Resilience deficit index for quantification of resilience. RCS 2022;1:1-9.
19. Alipour A, Shafei B. An overarching framework to assess the life-time resilience of deteriorating transportation networks in seismic-prone regions. RCS 2022;1:87-96.
20. Duan S, Ayyub BM. Assessment methods of network resilience for cyber-human-physical systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2020;6:03119001.
21. Emanuel R, Ayyub B. Assessing resilience model responsiveness in the context of stakeholder preferences in decision support systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2019;5:04019005.
22. Saadat Y, Ayyub BM, Zhang Y, Zhang D, Huang H. Resilience-Based Strategies for Topology Enhancement and Recovery of Metrorail Transit Networks. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2020;6:04020017.
23. Zhang Y, Ayyub BM, Fung JF. Projections of corrosion and deterioration of infrastructure in United States coasts under a changing climate. RCS 2022;1:98-109.
24. Capacci L, Biondini F, Frangopol DM. Resilience of aging structures and infrastructure systems with emphasis on seismic resilience of bridges and road networks: review. RCS 2022;1:23-41.
25. Salomon J, Behrensdorf J, Winnewisser N, Broggi M, Beer M. Multidimensional resilience decision-making for complex and substructured systems. RCS 2022;1:61-78.
26. Coolen FP, Coolen-Maturi T. Generalizing the signature to systems with multiple types of components. In: Complex systems and dependability. Springer; 2013. pp. 115–30.
27. Patelli E, Feng G, Coolen FP, Coolen-Maturi T. Simulation methods for system reliability using the survival signature. Reliab Eng Syst Safe 2017;167:327-37.
28. Salomon J, Winnewisser N, Wei P, Broggi M, Beer M. Efficient reliability analysis of complex systems in consideration of imprecision. Reliab Eng Syst Safe 2021;216:107972.
29. Jain N, Yadav OP, Rathore APS, Jain R. Reliability assessment framework for a multi-state multi-component system. J Ind Eng Chem 2017;34:580-89.
30. Yang K, Xue J. Continuous state reliability analysis. In: Proceedings of 1996 Annual Reliability and Maintainability Symposium. IEEE; 1996. pp. 251–57.
31. Eryilmaz S, Tuncel A. Generalizing the survival signature to unrepairable homogeneous multi-state systems. NavRes Log 2016;63:593-99.
32. Liu Y, Shi Y, Bai X, Liu B. Stress–strength reliability analysis of multi-state system based on generalized survival signature. J Comput Appl Math 2018;342:274-91.
33. Yi H, Cui L, Balakrishnan N. Computation of survival signatures for multi-state consecutive-k systems. Reliab Eng Syst Safe 2021;208:107429.
34. Qin J, Coolen FP. Survival signature for reliability evaluation of a multi-state system with multi-state components. Reliab Eng Syst Safe 2022;218:108129.
35. Skyttner L. General systems theory: origin and hallmarks. Kybernetes 1996; doi: 10.1108/03684929610126283.
36. Hudson JC, Kapur KC. Reliability bounds for multistate systems with multistate components. Oper Res 1985;33:153-60.
37. Gámiz ML, Miranda MM. Regression analysis of the structure function for reliability evaluation of continuous-state system. Reliab Eng Syst Safe 2010;95:134-42.
38. Hudson JC, Kapur KC. Reliability analysis for multistate systems with multistate components. AIIE Transactions 1983;15:127-35.
39. Coolen FP, Coolen-Maturi T. The structure function for system reliability as predictive (imprecise) probability. Reliab Eng Syst Safe 2016;154:180-87.
40. Feng G, Patelli E, Beer M, Coolen FP. Imprecise system reliability and component importance based on survival signature. Reliab Eng Syst Safe 2016;150:116-25.
41. Samaniego FJ. System signatures and their applications in engineering reliability. vol. 110. Springer Science & Business Media; 2007.
42. Ebeling CE. An introduction to reliability and maintainability engineering Waveland Press; 2019.
43. Beata K, Dariusz K, Dariusz M. Survival function in the analysis of the factors influencing the reliability of water wells operation. Water Resour Manag 2019;33:4909-21.
44. Zhang J, Zhao M, Liu H, Xu X. Networked characteristics of the urban rail transit networks. Physica A 2013;392:1538-46.
47. Zhan FB, Noon CE. Shortest Path Algorithms: An Evaluation Using Real Road Networks. Transport Sci 1998;32:65-73.
48. Latora V, Marchiori M. Economic small-world behavior in weighted networks. Eur Phys J B-Condensed Matter and Complex Systems 2003;32:249-63.
49. Wang X, Xu D. An inverse Gaussian process model for degradation data. Technometrics 2010;52:188-97.
50. Ye ZS, Chen N. The inverse Gaussian process as a degradation model. Technometrics 2014;56:302-11.
51. Peng W, Li YF, Yang YJ, Mi J, Huang HZ. Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates. IEEE T Reliab 2017;66:84-96.
52. Trippa L, Müller P, Johnson W. The multivariate beta process and an extension of the Polya tree model. Biometrika 2011;98:17-34.
53. Daum F, Huang J. Curse of dimensionality and particle filters. In: 2003 IEEE aerospace conference proceedings (Cat. No. 03TH8652). vol. 4. IEEE; 2003. pp. 4_1979–93.
54. Yi H, Balakrishnan N, Li X. Multi-State Joint Survival Signature for Multi-State Systems with Shared Multi-State Components. Methodol Comput Appl 2023;25:44.
55. Bai X, Li X, Balakrishnan N, He M. Statistical inference for dependent stress–strength reliability of multi-state system using generalized survival signature. J Comput Appl Math 2021;390:113316.
