摘要
针对高度复杂小批量生产环境下的统计过程控制问题,提出基于粒子滤波的改进型单值控制图。通过状态空间模型描述过程运行特征,并运用粒子滤波技术估计过程的运行状态,以状态粒子群的均值为对象,运用平均移动极差控制图对正态分布过程的漂移进行监控。研究结果表明,该方法是小批量生产过程质量控制的有效工具。
It is difficult to apply traditional individual control chart technology in high complex small batch production process. A modified individual control chart based on particle filter is proposed in this paper. The process is modeled by state space model, and the state is estimated through particle filter technology. The mean of state particles group is monitored by Average Moving Range （AMR） control chart to detect variation of normal distribution process. Results showed that the proposed chart is an effective tool to monitor small batch production process.
出处
《数理统计与管理》
CSSCI
北大核心
2012年第5期849-856,共8页
Journal of Applied Statistics and Management
基金
国家自然科学基金重点项目(70931004)
关键词
平均移动极差控制图
状态空间模型
粒子滤波
均值
average moving range control chart, state space model, particle filter, mean
