Fault Risk Assessment of Underwater Vehicle Steering System Based on Virtual Prototyping and Monte Carlo Simulation

1. Zhao Tingdi, Safety Design, Analysis and Validation. 2011, Beijing: National Defense Industry Press.Search in Google Scholar

2. Qin Liyan, Shao Chunfu, and Jia Hongfei, Analysis on Express Way Traffic Accidents and Their Countermeasures. China Safety Science Journal, 2003. 13(6): p. 64-67.Search in Google Scholar

3. LI Jin-long and S. Wan-hu, Cause Analysis ofTraffic Accidents on Express Highway and Study on Their Countermeasures. China Safety Science Journal, 2005. 15(1): p. 59-62.Search in Google Scholar

4. Mei-Chen Hsueh, T.K.T., and Ravishankar K. Iyer, Fault Injection Techniques and Tools. Computer, 1997(April): p. 75-82.10.1109/2.585157Search in Google Scholar

5. Carmel, Y., et al., Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecology and Management, 2009. 257(1): p. 370-377.10.1016/j.foreco.2008.09.039Search in Google Scholar

6. Sarajcev, P., J. Vasilj, and R. Goic, Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges. Renewable Energy, 2013. 57(0): p. 626-634.10.1016/j.renene.2013.03.004Search in Google Scholar

7. Rocha, J.M., A.A. Henriques, and R. Calcada, Probabilistic safety assessment of a short span high-speed railway bridge. Engineering Structures, 2014. 71(0): p. 99-111.10.1016/j.engstruct.2014.04.018Search in Google Scholar

8. Olaru, M., M. Şandru, and I.C. Pirnea, Monte Carlo Method Application for Environmental Risks Impact Assessment in Investment Projects. Procedia - Social and Behavioral Sciences, 2014. 109(0): p. 940-943.10.1016/j.sbspro.2013.12.568Search in Google Scholar

9. Lonati, G. and F. Zanoni, Monte-Carlo human health risk assessment of mercury emissions from a MSW gasification plant. Waste Management, 2013. 33(2): p. 347-355.10.1016/j.wasman.2012.10.01523177017Search in Google Scholar

10. LeBlanc, D.I., et al., A national produce supply chain database for food safety risk analysis. Journal of Food Engineering, 2015. 147(0): p. 24-38.10.1016/j.jfoodeng.2014.09.026Search in Google Scholar

11. Amigun, B., D. Petrie, and J. Gorgens, Economic risk assessment of advanced process technologies for bioethanol production in South Africa: Monte Carlo analysis. Renewable Energy, 2011. 36(11): p. 3178-3186.10.1016/j.renene.2011.03.015Search in Google Scholar

12. K. Durga Rao, V. Gopika, V.V.S. Sanyasi Rao, H.S. Kushwaha, A.K. Verma, A. Srividy, Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliability Engineering and System Safety, 2009(94): p. 872-883.10.1016/j.ress.2008.09.007Search in Google Scholar

13. Montewka, J., et al., A framework for risk assessment for maritime transportation systems -A case study for open sea collisions involving RoPax vessels. Reliability Engineering and System Safety, 2014(124): p. 142-157.10.1016/j.ress.2013.11.014Search in Google Scholar

14. Ferrario, E. and E. Zio, Goal Tree Success Tree-Dynamic Master Logic Diagram and Monte Carlo simulation for the safety and resilience assessment of a multistate system of systems. Engineering Structures, 2014. 59(0): p. 411-433.10.1016/j.engstruct.2013.11.001Search in Google Scholar

15. Smid, J.H., et al., Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment. International Journal of Food Microbiology, 2010. 139, Supplement(0): p. S57-S63.10.1016/j.ijfoodmicro.2009.12.01520071046Search in Google Scholar

16. Faghih-Roohi, S., M. Xie, and K.M. Ng, Accident risk assessment in marine transportation via Markov modelling and Markov Chain Monte Carlo simulation. Ocean Engineering, 2014. 91(0): p. 363-370.10.1016/j.oceaneng.2014.09.029Search in Google Scholar

17. Chen, H., L. Li, and Y. Sun, Risk Assessment of Aero Engine Failure based on Monte Carlo Simulation. Procedia Engineering, 2014. 80(0): p. 415-423.10.1016/j.proeng.2014.09.099Search in Google Scholar

18. Sobhani, A., W. Young, and M. Sarvi, A simulation based approach to assess the safety performance of road locations. Transportation Research Part C: Emerging Technologies, 2013. 32(0): p. 144-158.10.1016/j.trc.2012.10.001Search in Google Scholar

19. Chen, F. and S. Chen, Probabilistic Assessment of Vehicle Safety under Various Driving Conditions: A Reliability Approach. Procedia - Social and Behavioral Sciences, 2013. 96(0): p. 2414-2424.10.1016/j.sbspro.2013.08.270Search in Google Scholar

20. HU Liang-mou, CAO Ke-qiang, and XU Hao-jun, Fault Diagnosis for Hydraulic Actuator Double Closed-loop System Based on Improved LS-SVM. Journal of System Simulation, 2009. 21(17): p. 5477-5480.Search in Google Scholar

21. Zhe Cheng. A Hybrid Prognostics Approach to Estimate the Residual Useful Life of a Planetary Gearbox with a Local Defect, Journal of Vibroengineering, 2015, 17(2): 682-694.Search in Google Scholar

22. Yang Chen, G.C., Zhenpeng Zhang, Yulong Huang, Multi-field coupling dynamic modeling and simulation of turbine test rig gas system. Simulation Modelling Practice and Theory, 2014(44): p. 95-118.10.1016/j.simpat.2014.03.004Search in Google Scholar

23. Balci, O., Verification, Validation and Accreditation, in Winter Simulation Conference. 1998. p. 41-48.Search in Google Scholar

24. 5000.61, DoD, Verification Validation and Accreditation (VV&A) Recommended Practice Guide, 1996.Search in Google Scholar

25. MIL-STD-3022, DoD, Documentation of Verification, Validation, and Accreditation (VV&A) for Models and Simulations 2008.Search in Google Scholar

26. WANG Jing-qi, SHI Sheng-da, and ZHANG Wei-kang, Safe Maneuvering Technology for Ensuring Submarine’s Survivability. Journal of Naval University of Engineering, 2009. 21(1): p. 63-67.Search in Google Scholar

27. Khan, F.I., P.R. Amyotte, and D.G. DiMattia, HEPI: A new tool for human error probability calculation for offshore operation. Safety Science, 2006. 44(4): p. 313-334.10.1016/j.ssci.2005.10.008Search in Google Scholar

28. Park, K.S. and J.i. Lee, A new method for estimating human error probabilities: AHP-SLIM. Reliability Engineering & System Safety, 2008. 93(4): p. 578-587.10.1016/j.ress.2007.02.003Search in Google Scholar