基于D-S证据理论的产品多信息融合标识失效补救方法

Remediation of failed identification in product multi-information fusion based on D-S evidence theory

针对离散制造企业生产环境和工艺的复杂性容易引起Data Matrix二维符号标记的磨损、污染和腐蚀而发生标识失效的问题,提出一种基于D-S证据理论的产品多信息融合标识失效补救方法。分析了产品物理与制造过程中多源信息之间的关联和数据结构,建立了离散制造产品零散与不完整多源信息的数学模型;设计了改进的变异系数加权法,并采用基于类中心的变权欧式距离法对失效标识产品特征和历史数据库进行相似性测度计算;通过D-S证据理论对失效标识的产品特征层进行融合辨识。实验结果表明,该方法能够较好地恢复补救产品失效的标识。

Aiming at the problem that the two-dimensional Data Matrix symbol was wear, pollution and corrosion to fail identify leaded by production environment and process complexity in discrete manufacturing enterprise, a multi- information fusion to remediation failure identification based on D-S evidence theory was put forward. The correla- tion and data structure between multi-sources information in product physical and manufacturing process was ana- lyzed, and a mathematical model of discrete manufacturing products＇ scattered and incomplete multi-sources informa- tion was established. The improved weight coefficient of variation was designed. The failure identification of product characterization and the historical database was calculated similarly based on class center Euclidean distance method. The product features layers of failure identification were fused identified by D-S evidence theory. The experimental results demonstrated that the failure identification of product could be better recovered.