| 一种基于免疫机理的故障检测方法 |
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| 引用本文： | 李建伟,段富,张顺利. 一种基于免疫机理的故障检测方法[J]. 电脑开发与应用, 2007, 20(3): 32-34 |
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| 作者姓名： | 李建伟 段富 张顺利 |
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| 作者单位： | 太原理工大学,太原,030024;太原理工大学,太原,030024;太原理工大学,太原,030024 |
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| 摘 要： | 对Castro和T imm is提出的带变异的阴性选择算法进行适当改进,用于故障模式的离线训练。对Cas-tro和Zuben提出的aiN et免疫网络算法进行适当改进,并用于故障的在线检测。实验表明,由于采用了聚类的思想,构造的自我集和非我集能较全面反映系统在正常与不正常两种模式下的全貌,提高了在线检测准确率。
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| 关 键 词： | 故障检测 阴性选择算法 免疫网络 |
| 文章编号： | 1003-5850（2007）03-0032-03 |
| 收稿时间： | 2006-10-17 |
| 修稿时间： | 2007-01-11 |
A Fault Detection Method based on Immune Mechanism |
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| Li Jianwei. A Fault Detection Method based on Immune Mechanism[J]. Computer Development & Applications, 2007, 20(3): 32-34 |
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| Authors: | Li Jianwei |
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| Abstract: | In this paper,negative selection algorithm with mutation proposed by Castro and Timmis is improved and used in the off-line training of fault modes. The aiNet immune network algorithm proposed by Castro and Zuben is improved and used in on-line detection.Diagnosis case shows that the normal pattern and theabnormal pattern can be covered with the 'self' set and the 'non-self' set largely because of clustering.The accuracy of detection is improved. |
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| Keywords: | fault detection negative selection algorithm immune network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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