Integrated Statistical and Engineering Process Control Based on Smooth Transition Autoregressive Mo

• 作 者: 张晓蕾 何桢
• 机 构: SchoolofManagementandEconomics
• 出 处: 天津大学学报：英文版
• 发表日期: 2013年2期
• 关键词: 工程过程控制 自回归模型 平滑过渡 综合统计 基础 时间序列模型 综合控制系统 非线性系统 statistical process control engine
• 基金项目: Supported by National Natural Science Foundation of China （No. 70931004）.

Traditional studies on integrated statistical process control and engineering process control (SPC-EPC) are based on linear autoregressive integrated moving average (ARIMA) time series models to describe the dynamic noise of the system.However,linear mode