基于粗糙集的多传感器联合燃爆辨识技术.pdfVIP

学兔兔 第35卷 第6期 仪 器 仪 表 学 报 Vol_35 No．6 2014年6月 Chinese Journal of Scientific Instrument Jun．2014 基于粗糙集的多传感器联合燃爆辨识技术术 杨遂军，张 炜，傅 琳，叶树亮 (中国计量学院工业与商贸计量技术研究所 杭州 310018) 摘 要：燃爆辨识是获取物质理化参数及化学品物理危害的关键技术。针对燃爆状态复杂多变、单一传感器辨识效果不佳的 问题，引入多传感器联合辨识，并采用粗糙集法对多传感器数据进行融合。首先分析了燃爆参数间内在关联性，设计了多传感 器联合燃爆检测装置；从燃爆检测数据形成的决策表出发，运用基于完全简化规则集的粗糙集理论进行属性约简与值约简；存 保证燃爆辨识准确率的前提下挑选出最有效的特征子集，达到降维、简化辨识模型的目的，建立了基于温度与压力变化速率的 燃爆辨识模型。实验结果表明，该方法有效提高了燃爆测试装置的鲁棒性和辨识的置信概率，燃爆辨识准确率从传统方式的 95．56％提高到99．34％。 关键词：多传感器；燃爆辨识；数据融合；粗糙集理论 中图分类号：TP216 文献标识码：A 国家标准学科分类代码：510．40 Deflagration identification of multi—sensor based on rough set theory rang Suijun，Zhang Wei，Fu Lin，Ye Shuliang (Institute of Industry and Trade Measurement Technique，China Jiliang University，Hangzhou 310018，China) Abstract：Defiagration identification is a key technology to obtain material physical and chemical parameters and physical hazards of chemicals．Aiming at the problems that the deflagration has complicated variable status and single sensor system can not obtain satisfied identification effect，the multi—sensor joint identification is introduced，and a new method based on the rough set theory is adopted to fuse the data of multi—sensors．In this paper，the inherent correlation among the deflagration parameters are analyzed，a joint deflagration identification device based on multi—sensors is designed．Starting from the decision table formed from the deflagration test data，the tom— plete reduced rule set of the rough set theory is adopted to reduce the attribute table and the core value table．Under the promise of ensu— ring the accuracy of defla