基于改进模糊Petri网的航空保障系统易损性评估(英文)

• 作 者: 冯麟涵 姚熊亮 张阿漫
• 机 构: 海军装备研究院,哈尔滨工程大学船舶工程学院船舶振动与冲击实验室,
• 出 处: 船舶力学
• 发表日期: 2010年12期
• 关键词: 保障系统 粒子群算法 航保 评估模型 aircraft guarantee 模拟系统 专家经验 粒子群优化 损伤树

提出一种基于改进模糊Petri网(FPN)的系统易损性评估模型。该模型在传统FPN基础上结合一种改进的粒子群优化算法,既能够模拟系统复杂的逻辑关系,又能够更方便地通过训练样本来确定系统中大量未知参数,摆脱对专家经验的依赖,具有优良的收敛性能。针对大型载机舰船航空保障系统的特性,建立了基于改进FPN的航保系统易损性评估模型。算例表明该方法比传统损伤树法更合理、全面,可推广用于舰船复杂系统易损性评估。

A vulnerability assessment model based on improved fuzzy Petri net (FPN) is proposed. Based on the traditional FPN, this model combines an improved Particle Swarm Optimization (PSO) algorithm, which not only can simulate the complex logical relations of the system, but also can easily identify a large number of unknown parameters in the system by training samples and get rid of the dependence on expert experience. Excellent convergence performance. Aiming at the characteristics of aviation security system for large carrier ships, a vulnerability assessment model based on the improved FPN is established. The example shows that this method is more reasonable and comprehensive than traditional damage tree method and can be used to evaluate the vulnerability of complex systems.