Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance

• A novel evaluation methodology combining Markov model and dynamic Bayesian networks is developed. The external disaster established by mapping from actual physical models of influencing factors. Power supply control systems subsea blowout preventers demonstrates the application methodology. Many resilience methods were proposed to assess system under influence specific, constant disasters, these are restricted fixed disasters. (DBNs) developed, suitable for various factors, failure rate a single component obtained model, performance through combination DBNs, value finally calculated integral curve. An example power