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International Society of Science and Applied Technologies |
| Reliability Analysis of Coupled Cascading Failure System Based on Markov Process | ||||
| Author | Qi Wang
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| Co-Author(s) | Xujie Jia; Aoxue Su; Dong Xu
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| Abstract | Cascading failure is a condition when the failure of one part or component of interconnected systems can lead to failure in related areas of the system that propagates to the point of an overall system failure. Cascading failure increases the risk of large-scale failure of coupled system and the dependence relation between subsystems increases the complexity of analysis. Considering the impact of dependence relation on the safe and reliable operation of the power communication system, we propose a probabilistic model to accurately investigate the dynamics of cascading failures in the coupled system based on continuous-time Markov process. Cascading failure process is described as the sequence of stochastic state transitions. The influence of increased load on surviving components and the dependence between subsystems can be captured in transition rates. And we prove the analytical expression of the coupled system reliability.
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| Keywords | Dependence relation; Coupled system; Cascading failure; Continuous-time Markov process; Reliability | |||
| Article #: RQD26-240 | ||||
Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design |