基于克隆选择算法的故障诊断模型及应用研究  

Malfunction Diagnosis Model and Application Study Based on Clone Selection Algorithm

作　　者：李海潮[1] 陈强[2] 

机构地区：[1]江西理工大学机电工程学院,江西赣州341000 [2]北京科技大学信息工程学院

出　　处：《矿山机械》2007年第6期105-108,共4页Mining & Processing Equipment

摘　　要：针对现有的故障诊断方法缺乏连续、自适应学习能力的问题,从生物免疫系统的克隆选择机理得到启示。提出了一种基于克隆选择机理的进化学习算法和故障诊断模型,并构建了一种具有导向性的克隆操作算子。在C618型车床进行的故障诊断实验结果表明,本文提出的克隆选择进化学习算法和模型是有效的。Since the current malfunction diagnosing approach are devoid of ability of continuous and self-adaptive learning,with the revelation from the clone selection mechanism of creature immunity system,the paper put forward a kind of evolutional learning algorithm and malfunction diagnosis model based on clone selection mechanism,and constructed a kind of oriented clone operator.The result of malfunction diagnosis experiment conducted on C618 lathes shows that the algorithm and model of clone selection evolutional learning are effective.

关 键 词：克隆选择机理 进化学习算法 克隆操作算子 故障诊断模型 

分 类 号：TH165.3[机械工程—机械制造及自动化]