摘要
将采集到的氧枪振动信号、炉口音频信号、炉口火焰图像信号作为喷溅特征的表征,采用D-S证据理论进行信息融合并得到预报结果,实验结果表明,多传感器信息经过证据组合规则融合,降低了不确定性的基本概率赋值,提高了决策可信度。
Taking the samplings from three sensors including oxygen lance vibration, frequency and flame images of furnace mouth as the characteristic data information, the data are fused with D-S evidence theory. The result indicates that the fused data can decrease the uncertainty of the basic probability assignment, and improve the decision reliability rate.
作者
马海涛
王珊珊
于颖
张赫鸣
MA Haitao WANG Shanshan YU Ying ZHANG Heming(School of Electrical ＆ Electronic Engineering, Changchun University of Technology, Changchun 130012, China Institute of Information Confrontation, Aviation University Air Force, Changchun 130022, China)
出处
《长春工业大学学报》
CAS
2017年第4期377-380,共4页
Journal of Changchun University of Technology
基金
吉林省教育厅"十二五"社会科学研究项目(吉教科文合字[2015]第120号)
