UUV预防性维修策略优化方法研究

Research on Preventive Maintenance Strategy for Underwater Unmanned Vehicles

水下无人航行器(UUV)是执行海洋探测和军事任务的重要工具。由于UUV工作时工况的复杂性,其部件易发生故障,导致水下任务失败,甚至造成巨大损失。针对当前缺少对广义环境下UUV预防性维修策略研究的问题,建立UUV预防性维修策略优化模型,提出基于多目标粒子群算法的求解方法,并引入实际数据验证模型和方法的可行性,为UUV运行安全保障和维护提供理论参考。

Unmanned underwater vehicle(UUV)is an important tool for conducting ocean exploration and military missions.Due to the complexity of operating conditions during UUV operation,its components are prone to malfunctions,resulting in underwater mission failures and even huge losses.In response to the current lack of research on UUV preventive maintenance strategies in a generalized environment,an optimization model for UUV preventive maintenance strategies is established.A multi-objective particle swarm optimization algorithm based solution method is proposed,and practical data is introduced to verify the feasibility of the model and method,providing theoretical reference for UUV operation safety protection and maintenance.