摘要
动柔度矩阵是结构损伤检测的有力工具。支持向量机是在统计学习理论上发展出的一种学习机器,其针对小样本分类识别性能优越。提出了一套基于支持向量机和动柔度矩阵的损伤识别技术。对JJ160/41—K型石油井架模型进行了损伤实验研究,利用实验数据构建了分类识别支持向量机,并以数值仿真计算,验证了该技术的有效性。
Dynamic flexibility matrix is a kind of powerful method of structure damage detection. Support vector machine （SVM） is a study machine developing from statisical learning theory,which has splendid function for small sample classification. A set of damage identification technique based on SVM and dynamic flexibility matrix is put out. Experiment research is carried on JJ160/41—K derrick,the data from which construct a classification identification SVM,and validity of this method is validated by emulational calculation.
出处
《科学技术与工程》
2010年第26期6421-6424,共4页
Science Technology and Engineering
基金
黑龙江省教育厅科学技术研究项目(11541010)资助
关键词
支持向量机
动柔度矩阵
损伤
石油井架
分类识别
support vector machine dynamic flexibility matrix damage oil derrick classification identification
