Analysis and optimal design of systems operating in a random environment and having a rescue option

References

• Bricha, N., and M. Nourelfath. 2014. “Extra-capacity Versus Protection for Supply Networks Under Attack.” Reliability Engineering & System Safety 131: 185–196. doi: 10.1016/j.ress.2014.07.004
   Web of Science ®Google Scholar
• Cai, K.-Y. 2005. “Variable-structure Coherent Systems.” International Journal of General Systems 34: 639–672. doi: 10.1080/03081070500360945
   Web of Science ®Google Scholar
• Cha, J. H., and M. Finkelstein. 2011. “On new Classes of Extreme Shock Models and Some Generalizations.” Journal of Applied Probability 48: 258–270. doi: 10.1239/jap/1300198148
   Web of Science ®Google Scholar
• Cha, J. H., and J. Mi. 2007. “Study of a Stochastic Failure Model in a Random Environment.” Journal of Applied Probability 44: 151–163. doi: 10.1239/jap/1175267169
   Web of Science ®Google Scholar
• Eryilmaz, S. 2013. “Reliability of a k-out-of-n System Equipped with a Single Warm Standby Component.” IEEE Transactions on Reliability 62: 499–503. doi: 10.1109/TR.2013.2259202
   Web of Science ®Google Scholar
• Finkelstein, M. 2008. Failure Rate Modelling for Reliability and Risk. London: Springer.
   Google Scholar
• Finkelstein, M., and J. H. Cha. 2013. Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations. London: Springer.
   Google Scholar
• Finkelstein, M., and I. Gertsbakh. 2015. “On ‘Time-Free’ Preventive Maintenance of Systems with Structures Described by Signatures.” Applied Stochastic Models in Business and Industry 31: 836–845. doi: 10.1002/asmb.2111
   Web of Science ®Google Scholar
• Gut, A., and J. Husler. 2005. “Realistic Variation of Shock Models.” Statistics and Probability Letters 74: 187–204. doi: 10.1016/j.spl.2005.04.043
   Web of Science ®Google Scholar
• Kanistras K., Martins G., Rutherford M., Valavanis K. 2013 . A survey of unmanned aerial vehicles (UAVs) for traffic monitoring. International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, USA.
   Google Scholar
• Klefsjo, B. 1981. “Survival Under the Pure Birth Shock Model.” Journal of Applied Probability 18: 554–560. doi: 10.2307/3213305
   Web of Science ®Google Scholar
• Levitin, G., and H. Ben Haim. 2008. “Importance of Protections Against Intentional Attacks.” Reliability Engineering & System Safety 93: 639–646. doi: 10.1016/j.ress.2007.03.016
   Web of Science ®Google Scholar
• Levitin, G., and M. Finkelstein. 2018a. “Optimal Mission Abort Policy for Systems Operating in a Random Environment.” Risk Analysis 38: 795–803. doi: 10.1111/risa.12886
   PubMed Web of Science ®Google Scholar
• Levitin, G., and M. Finkelstein. 2018b. “Optimal Mission Abort Policy for Systems in a Random Environment with Variable Shock Rate.” Reliability Engineering and System Safety 169: 11–17. doi: 10.1016/j.ress.2017.07.017
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, S. Amari, and Y. Dai. 2013b. “Reliability of non-Repairable Phased-Mission Systems with Propagated Failures.” Reliability Engineering & System Safety 119: 218–228. doi: 10.1016/j.ress.2013.06.005
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, S. Amari, and Y. Dai. 2014. “Optimal Elements Separation in non-Repairable Phased-Mission Systems.” International Journal of General Systems 43: 864–879. doi: 10.1080/03081079.2014.913286
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, and Y. Dai. 2013a. “Sequencing Optimization in k-out-of-n Cold-Standby Systems Considering Mission Cost.” International Journal of General Systems 42: 870–882. doi: 10.1080/03081079.2013.819861
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, and Y. Dai. 2018. “Mission Abort Policy in Heterogeneous non-Repairable 1-out-of-N Warm Standby Systems.” IEEE Transactions on Reliability 67: 342–354. doi: 10.1109/TR.2017.2740330
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, Q. Zhai, and Y. Dai. 2016a. “Optimization of Full vs. Incremental Periodic Backup Policy.” IEEE Transactions on Dependable and Secure Computing 13: 644–656. doi: 10.1109/TDSC.2015.2413404
   Web of Science ®Google Scholar
• Levitin, G., L. Xing, A. E. Zonouz, and Y. Dai. 2016b. “Heterogeneous Warm Standby Multi-Phase Systems with Variable Mission Time.” IEEE Transactions on Reliability 65 (1): 381–393. doi: 10.1109/TR.2015.2451271
   Web of Science ®Google Scholar
• Liu, J., J. Yang, J. Wang, and H. S. I. I. Wang Y. (2004). Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis.” International Journal of General Systems 33: 183–204. doi: 10.1080/03081070310001633536
   Web of Science ®Google Scholar
• Lu, J., X. Wu, Y. Liu, and M. Lundteigen. 2015. “Reliability Analysis of Large Phased-Mission Systems with Repairable Components Based on Success-State Sampling.” Reliability Engineering & System Safety 142: 123–133. doi: 10.1016/j.ress.2015.05.010
   Web of Science ®Google Scholar
• Ma, Y., and K. Trivedi. 1999. “An Algorithm for Reliability Analysis of Phased-Mission Systems.” Reliability Engineering & System Safety 66: 157–170. doi: 10.1016/S0951-8320(99)00033-2
   Web of Science ®Google Scholar
• Mallor, F., and E. Omey. 2001. “Shocks, Runs and Random Sums.” Journal of Applied Probability 38: 438–448. doi: 10.1017/S0021900200019951
   Web of Science ®Google Scholar
• Nakagawa, T. 2007. Shocks and Damage Models in Reliability Theory. London: Springer.
   Google Scholar
• Nex, F., and F. Remondino. 2014. “UAV for 3D Mapping Applications: a Review.” Applied Geomatics 6: 1–15. doi: 10.1007/s12518-013-0120-x
   Google Scholar
• Peng, R., Q. Zhai, L. Xing, and J. Yang. 2014. “Reliability of Demand-Based Phased-Mission Systems Subject to Fault Level Coverage.” Reliability Engineering & System Safety 121: 18–25. doi: 10.1016/j.ress.2013.07.013
   Web of Science ®Google Scholar
• Ramirez-Marquez, J., C. Rocco, and G. Levitin. 2011. “Optimal Network Protection Against Diverse Interdictor Strategies.” Reliability Engineering & System Safety 96: 374–382. doi: 10.1016/j.ress.2010.10.003
   Web of Science ®Google Scholar
• Rausand, M., and A. Høyland. 2003. System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition. Wiley.
   Google Scholar
• Salichon, M., and K. Tumer. (2013). A Neuro-Evolutionary Approach to Control Surface Segmentation for Micro Aerial Vehicles.” International Journal of General Systems 42: 793–805. doi: 10.1080/03081079.2013.776203
   Web of Science ®Google Scholar
• Tolani, D., A. Ray, and J. Horn. 2006. “Integrated Decision and Control of Human-Engineered Complex Systems.” International Journal of General Systems 35: 275–294. doi: 10.1080/03081070600660962
   Web of Science ®Google Scholar
• Wang, C., L. Xing, and G. Levitin. 2015. “Probabilistic Common Cause Failures in Phased-Mission Systems.” Reliability Engineering & System Safety 144: 53–60. doi: 10.1016/j.ress.2015.07.004
   Web of Science ®Google Scholar
• Wang, C., L. Xing, R. Peng, and Z. Pan. 2017. “Competing Failure Analysis in Phased-Mission Systems with Multiple Functional Dependence Groups.” Reliability Engineering & System Safety 164: 24–33. doi: 10.1016/j.ress.2017.02.006
   Web of Science ®Google Scholar
• Wang, W., J. Xiong, and M. Xie. 2015. “Cold-standby Redundancy Allocation Problem with Degrading Components.” International Journal of General Systems 44: 876–888. doi: 10.1080/03081079.2015.1028541
   Web of Science ®Google Scholar
• Xiao, H., D. Shi, Y. Ding, and R. Peng. 2016. “Optimal Loading and Protection of Multi-State Systems Considering Performance Sharing Mechanism.” Reliability Engineering & System Safety 149: 88–95. doi: 10.1016/j.ress.2015.12.001
   Web of Science ®Google Scholar
• Yun, W., and J. Cha. 2010. “Optimal Design of a General Warm Standby System.” Reliability Engineering and System Safety 95: 880–886. doi: 10.1016/j.ress.2010.03.004
   Web of Science ®Google Scholar
• Zak S. 2001 . Survey of UAV applications in civil markets. In Proc. 9th Mediterranean Conference on Control and Automation 11.
   Google Scholar
• Zhang, R., P. Peng, Z. Xu, J. Li, and S. Niu. 2013. “A Risk Assessment Modeling Technique Based on Knowledge Extraction and Information Diffusion with Support Specification.” International Journal of General Systems 42: 807–819. doi: 10.1080/03081079.2013.816695
   Web of Science ®Google Scholar