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一种新型免疫网络学习算法在故障诊断中的应用

花匠小妙招
2024-11-12 17:25

[1]李红芳,等.一种新型免疫网络学习算法在故障诊断中的应用[J].智能系统学报,2008,3(5):449-454.
　L IHong-fang,ZHANG Qing-hua,et al.Application of a novel immune network learn ing algor ithm to fault diagnosis[J].CAAI Transactions on Intelligent Systems,2008,3(5):449-454.

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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 3 期数: 2008年第5期页码: 449-454 栏目: 学术论文—机器学习出版日期: 2008-10-25

Title: Application of a novel immune network learn ing algor ithm to fault diagnosis 文章编号: 1673-4785 (2008) 05-0449-06 作者: 1. 茂名学院计算机与电子信息学院,广东茂名525000; 2. 太原理工大学信息工程学院,山西太原030024 Author(s): L IHong-fang1, 2 , ZHANG Qing-hua1 , XIE Ke-ming2 1. College of Electronic Information and Computer, Maoming University, Maoming 525000, China;
2. College of Information Engi2 neering, Taiyuan University of Technology, Taiyuan 030024, China 关键词: 克隆选择; 故障诊断; 免疫网络; 无量纲指标 Keywords: clone selection; fault diagnosis; immune network; non2dimensional parameter 分类号: TP18 文献标志码: A 摘要: 针对免疫算法对旋转机械故障进行诊断时存在多样性、去冗余方面的困难,提出了一种新型免疫网络学习算法. 该算法首次在抗体初始化过程引入了抗体抑制机制,定义了邻近抗体对本抗体的抑制阈. 消除了冗余的抗体,增强了抗体的多样性. 另外该算法定义了新的学习速率,使得抗体向抗原的方向搜索速度更快. 最后将该算法运用在旋转机械故障诊断中,试验结果表明算法能有效地对5种典型故障进行分类识别. Abstract: Immune algorithms have p roblems diagnosing faults in rotatingmachines. This is due to the volume of u2 nique data points they must p rocess, and the difficulty in eliminating redundant data. Hence, a novel immune net2 work learning algorithm was formulated, in which antibody supp ression was introduced in the p rocess of generating initial antibodies, and a supp ression threshold for antibodies with respect to neighboring antibodies was defined. Redundant antibodies were eliminated, while allowing the diversity of antibodies to be enhanced. In addition, a new learning rate was defined, increasing the speed antibodies search in the direction of antigens. Finally, the al2 gorithm was tested in fault diagnosis for rotatingmachines. Experimental results indicated that this algorithm can ef2 fectively classify and recognize five typ ical kinds of faults

备注/Memo

收稿日期: 2007-11-06.
基金项目:广东省自然科学基金资助项目(05011905) ;广东省科技计划资助项目(2006B12401009) .
作者简介:
李红芳, 女, 1983 年生, 硕士研究生,主要研究方向为智能信息处理、故障诊断、人工免疫系统. 发表学术论文5 篇. 　　
张清华,男, 1965年生,博士,教授. 主要研究方向为智能控制、计算机仿真、故障诊断等. 曾获国家软件著作权授权、国家专利、广东省科技奖三等奖、茂名市科技进步二等奖等. 发表学术论文30多篇,多篇被EI、ISTP收录. 　　
谢克明,男, 1944 年生,教授,博士生导师, 主要研究方向为智能信息处理、智能控制理论及应用、进化计算、人工免疫系统等. 参研国家“863”项目2 项,主持6项省部级科研项目和横向项目. 5年来,发表学术论文100 余篇,其中多篇被EI、ISTP、SA等收录.
通信作者:李红芳. E-mail: lihongfang0109@163. com.