智能系统学报2017，Vol.12Issue(1)：32-37,6.DOI:10.11992/tis.201604026
传感器优化布置的距离系数-Fisher信息准则
Distance coefficient-Fisher information criterion for optimal sensor placement
摘要
Abstract
For damage parameters identification, when the traditional Fisher information criterion is used for optimal sensor placement, the measuring points are susceptible to gathering in a local sensitivity area, which results in information redundancy and this is not conducive to damage location.To avoid aggregation of the measuring points and improve the ability of the damage location, the distance coefficient, which reflects the degree of information independence, was used first to correct the Fisher information matrix, and then the measuring points were obtained by maximizing the determinant of the modified information matrix using a sequential algorithm.The method was employed to design the optimal sensor configuration for a simple 16-DOF chain mass-spring model.The results show the method can effectively avoid the aggregation of measuring points and solve the problem of information redundancy.关键词
传感器优化布置/损伤识别/Fisher信息矩阵/信息冗余/欧氏距离/灵敏度分析/模态分析Key words
optimal sensor placement/damage detection/Fisher information matrix/information redundancy/Euclidean distance/sensitivity analysis/modal analysis分类
信息技术与安全科学引用本文复制引用
董小圆,彭珍瑞,殷红,董海棠..传感器优化布置的距离系数-Fisher信息准则[J].智能系统学报,2017,12(1):32-37,6.基金项目
国家自然科学基金项目(61463028) （61463028）
甘肃省自然科学基金项目(1506RJZA069). （1506RJZA069）
