| 基于模糊免疫算法的管道缺陷磁记忆识别 |
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| 引用本文： | 李远利,李著信,刘书俊.基于模糊免疫算法的管道缺陷磁记忆识别[J].微计算机信息,2012(4):17-19. |
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| 作者姓名： | 李远利 李著信 刘书俊 |
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| 作者单位： | 后勤工程学院军事供油工程系 |
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| 基金项目： | 基金申请人:李著信;项目名称:金属管道剩余寿命预测技术及装备研究;基金颁发部门:中国人民解放军总后勤部(油20040207) |
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| 摘 要： | 在金属管道的磁记忆检测中,管道缺陷状态的识别普遍是基于单个检测信号特征值来进行分析的。这种方法存在误检率高、可靠性低等问题。为此,构建了一个基于模糊免疫算法的智能识别模型,将磁记忆检测信号多个特征值组合为一个向量,作为识别模型的输入向量,以分析识别管道缺陷的状况。实验表明,该方法能够对管道缺陷进行准确、有效的识别。
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| 关 键 词： | 模糊免疫算法 金属管道 磁记忆检测 信号特征 缺陷识别 |
A defect recognition model for pipeline magnetic memory testing based on fuzzy-immune algorithm |
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| LI Yuan-li,LI Zhu-xin,LIU Shu-jun.A defect recognition model for pipeline magnetic memory testing based on fuzzy-immune algorithm[J].Control & Automation,2012(4):17-19. |
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| Authors: | LI Yuan-li LI Zhu-xin LIU Shu-jun |
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| Affiliation: | (Department of Petroleum Supply Engineering,Logistic Engineering University,Chongqing 401311,China) |
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| Abstract: | The defect recognition of metal pipeline was generally based on sinal signal feature in magnetic memory testing.This method has high false detection rate and low reliability.To achieve accurate recognition of pipeline defect,a recognition model based on fuzzy-immune algorithm was established to analysis the vector combined with multiple signal features.The experiments show that the pipeline defect can be recognised by this method. |
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| Keywords: | fuzzy-immune algorithm oil pipeline magnetic memory testing signal feature defect recognition |
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