| 基于支持向量机的结构损伤识别 |
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| 引用本文： | 雷玺博,康兴无,韩媛媛.基于支持向量机的结构损伤识别[J].唐山师范学院学报,2010,32(2):63-66. |
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| 作者姓名： | 雷玺博 康兴无 韩媛媛 |
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| 作者单位： | 1. 第二炮兵工程学院,陕西,西安,710025
2. 装甲兵工程学院,北京,100072 |
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| 摘 要： | 支持向量机是一种基于统计学习理论和结构风险最小化原则的新型机器学习算法。介绍了支持向量机分类概率估计和回归估计，构造基于模态频率的损伤指标标识量，根据分类概率估计与回归算法计算结构损伤位置及程度。通过简支梁仿真算例，验证了该方法的有效性。
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| 关 键 词： | 支持向量机 模态频率 结构损伤 |
Machine Identification of Structural Damage Based on Support Vector |
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| LEI Xi-bo,KANG Xing-wu,HAN Yuan-yuan.Machine Identification of Structural Damage Based on Support Vector[J].Journal of Tangshan Teachers College,2010,32(2):63-66. |
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| Authors: | LEI Xi-bo KANG Xing-wu HAN Yuan-yuan |
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| Institution: | 1. Second Artillery Engineering College, Xi＇an 710025, China; 2. Armored Force Engineering Institute, Beijing 100072, China) |
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| Abstract: | Support vector machine is based on statistical learning theory and structural risk minimization principle of a new machine learning algorithm. The examples to construct the modal frequency of the damage index mark, and calculate the probability of damage location and the extent of the structure, were given. The method was verified through the simple beam simulation example. |
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| Keywords: | support vector machine(SVM) modal frequency structural damage |
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