摘要
基于支持向量数据描述算法,构建一种有效的指数加权移动平均控制图,用于监控高维数据的生产情况。通过模拟仿真,对所提出的控制图及原有控制图的性能进行研究分析。模拟结果表明,基于概率支持向量数据描述算法的指数加权移动平均控制图在检测小偏移方面比原有控制图更有效。
Based on the support vector data description algorithm,an effective exponential weighted moving average control chart is constructed to monitor the production of high-dimensional data.Through simulation,the performance of the proposed control chart and the original control chart is studied and analyzed.The simulation results show that the exponential weighted moving average control chart based on probabilistic support vector data description algorithm is more effective than the original control chart in detecting small deviation.
作者
程旭超
Cheng Xu-chao(School of Science,Yanshan University,Qinhuangdao 066004,Hebei Province,China)
出处
《科学与信息化》
2023年第12期91-93,共3页
Technology and Information
关键词
支持向量数据描述
指数加权移动平均控制图
平均链长
support vector data description
exponential weighted moving average control chart
average chain length
