摘要
针对故障检测中,现有阴性选择算法的不足,提出了一种基于非己空间变异搜索检测器的故障检测算法。该算法以非己空间为基础,依据生物遗传中变异的机制,以及体现免疫系统克隆选择的原理来训练检测器,对能检测出异常变化的经典阴性选择算法作了新改进。最后通过仿真表明了非己空间变异搜索算法在计算复杂度明显下降的同时,对故障检测的有效性和准确性有极大的提高。
Based on non-self-space mutation search detector,the fault detection algorithm is presented for the defects of exist negative-selection algorithm in fault detection in this paper.The algorithm can embody that the principle of clone selection train detector according to the mutation mechanism of biological genetic algorithm,and improve the classical negative-selection algorithm which can be detected abnormity.In the end,the simulation examples show that the computing complexity of the improved algorithm is decline in evidence,meanwhile,the validity and veracity of fault detection is also enhanced greatly.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第28期92-94,106,共4页
Computer Engineering and Applications
基金
广东省自然科学基金(the Natural Science Foundation of Guangdong Province of China under Grant No.05011905)
广东省科技计划项目(2004B16001179)。
关键词
变异搜索
阴性选择算法
故障检测
mutation search
negative-selection algorithm
fault detection
