Rough集理论在结构损伤识别中的应用  

Structural Damage Detection Using Rough Set Theory

作　　者：李焰[1] 姜德生[1] 罗裴[1] 王立新[1] 

机构地区：[1]武汉理工大学光纤传感技术与信息处理教育部重点实验室,武汉430070

出　　处：《武汉理工大学学报》2006年第2期90-93,共4页Journal of Wuhan University of Technology

基　　金：国家自然科学基金(50179092)

摘　　要：提出以光纤光栅传感器为传感元件、简支板结构为研究对象、运用粗集理论对结构损伤部位进行检测识别。介绍了用Rough集理论来构建检测对象的知识表示方法,用K-均值量化算法实现连续信息离散化,采用基于Rough集的约简方法来生成目标决策规则。检验样本的实验显示出所提方法获得了满意的检测识别结果,且运算效率远高于神经网络。For the simple supporting plank sensed by fiber bragg grating strain sensing array, an approach on structural damage detection using Rough set theory was researched. Flatly, the expression of the knowledge about the detected objects based on Rough set was presented. The K-mean algorithm was then used to disperse the continuous data. Finally, the rules for objects recognition were achieved by the reduction technology of the decision-making table to realize the structural damage detection, The experiment results demonstrated that the proposed approach had good quality in detection performance and higher operation efficiency.

关 键 词：ROUGH集 光纤光栅 损伤检测 

分 类 号：TP212.14[自动化与计算机技术—检测技术与自动化装置]