| 基于蚁群算法的机械故障智能诊断方法研究 |
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| 引用本文： | 吴伟,桂博翔.基于蚁群算法的机械故障智能诊断方法研究[J].机械研究与应用,2014(6):15-17. |
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| 作者姓名： | 吴伟 桂博翔 |
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| 作者单位： | 西安石油大学 机械工程学院,陕西 西安,710065 |
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| 摘 要： | 介绍了蚁群算法基本原理,实验验证了蚁群聚类算法可用于轴承故障诊断,对比蚁群算法和BP神经网络在故障诊断中的不同,分析了蚁群算法在故障模式识别中的特点。
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| 关 键 词： | 蚁群算法 BP神经网络 聚类分析 |
Research on Intelligent Diagnosis Method of Machinery Fault Based on Ant Colony Algorithm |
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| WU Wei,GUI Bo-xiang.Research on Intelligent Diagnosis Method of Machinery Fault Based on Ant Colony Algorithm[J].Mechanical Research & Application,2014(6):15-17. |
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| Authors: | WU Wei GUI Bo-xiang |
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| Affiliation: | ( School of Mechanical Engineering, Xi Jan Shiyou University, Xi an Shaanxi 710065, China) |
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| Abstract: | The basic principles of ant colony algorithm is introduced,and it is proved that the ant colony clustering algorithm can be used for bearing fault diagnosis through experiments,and the difference between ant colony algorithm and BP neural network in fault diagnosis is compared,and the characteristics of ant colony algorithm in fault pattern recognition is analyzed. |
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| Keywords: | ant colony algorithm BP neural network clustering analysis |
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