Simulation Method for Task Success Rate Based on Component State Evolution in Multi-Task Processes

Existing models for task success evaluation often focus solely on specific performance metrics of the system, neglecting the impact of the system component state evolution on task success; moreover, few researchers have evaluated task success in multi-task processes. This paper builds a model for both state evolution and task success determination in a multi-component system undergoing a multi-task process. The model combines the system's structural function to achieve this purpose. Multiple simulations using this model can yield the system's task success rate and distribution characteristics. At the end of the article, an application case involving an aircraft's parallel hybrid power system is presented.