Publications by authors named "Daqiang Yan"
Article Synopsis
- The study presents a resilience assessment methodology for evaluating train control systems after recovery from failures, using reliability as a key metric.*
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- It employs a Discrete Time Bayesian Network to analyze system reliability and an exponential recovery model to illustrate performance changes during recovery.*
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- Results showed that the resilience percentages for systems with cold and hot standby redundancy were 89.44% and 87.34%, suggesting a minor performance dip post-recovery and highlighting the need for operational adjustments to maintain railway network efficiency.*
