粗糙集的约简算法在涡流传感器设计中的应用  

APPLICATION OF ROUGH SET REDUCTION ALGORITHM TO EDDY CURRENT SENSOR DESIGN

作　　者：游凤荷[1] 黄樟灿[1] 孙砚飞[1] 毛天祥 

机构地区：[1]武汉理工大学,武汉430070 [2]仙桃人民医院,湖北430725

出　　处：《无损检测》2003年第3期117-120,共4页Nondestructive Testing

基　　金：国家自然科学基金(60133010)

摘　　要：用粗糙集理论从传感器设计的大量数据中提取最小规则集。约简过程表明,核属性中只有测量参数,即涡流传感器结构参数对灵敏度的影响是通过与测量参数的配合而起作用的。应用粗糙集约简算法,不仅获得了传感器的设计规则,而且揭示了影响传感器性能的因素之间的关系,为涡流传感器设计提供了新的知识。Rough set theory was used in extracting minimal rule set from the data of sensor design. The reduct-ing procedure indicated that there only existed measurement parameter in core properties. This meant that construction parameter did not affect the sensitivity of eddy current sensors alone, instead it worked together with measurement parameter. Not only the rule for designing sensor but also the relationships among the factors influencing the performance of sensors were obtained by applying rough set reduction algorithm. It provided new knowledge for sensor design.

关 键 词：粗糙集 约简算法 涡流传感器 设计 数据处理 涡流检测 

分 类 号：TH878[机械工程—仪器科学与技术] TP212[机械工程—精密仪器及机械]