基于改进离散差分进化算法的多故障最小碰集生成技术  

Generation of minimal hitting set for multiple fault diagnosis based on enhanced discrete differential evolution algorithm

作　　者：石宇[1] 王岩[1] 刘扬[1] 朱敏[1] 

机构地区：[1]空军航空大学信息对抗系,长春130022

出　　处：《电子测量技术》2016年第8期48-52,共5页Electronic Measurement Technology

摘　　要：最小碰集生成是确定多故障诊断策略的常用方法,提出运用基于混合策略的离散差分进化算法(DDE)求解多故障模糊组的最小碰集。结合最小碰集生成的特点对种群中个体进行了重定义;采用混合差分策略加上随机变化的缩放因子,平衡了算法寻优的全局性和收敛速度的矛盾;通过新增两个选择机制提高算法的及时性和种群的多样性。结合实例进行了仿真分析,验证了该算法相对于离散粒子群算法的有效性。Multiple fault minimal hitting generation is the first step in the development of multiple fault diagnosis strategy,a discrete differential evolution algorithm（DDE）based on a hybrid strategy is proposed in order to generate the minimal hitting set firstly.Redefine the meaning of the individuals of population according to the characteristics of Multiple fault minimal hitting generation;Hybrid differential strategies and random changes in the scaling factor are introduced,thus the contradictory of global optimization and convergence rate is further balanced.By the addition of two selection mechanisms,timeliness of algorithm and diversity of populations are improved.Through a example discrete particle swarm algorithm is compared to verify the effectiveness of the algorithm.

关 键 词：离散差分进化算法 混合差分策略 最小碰集 多故障诊断 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]