欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
研究了自相关泊松计数过程单侧指数加权移动平均（exponentially weighted moving average，EWMA）控制图．基于floor和ceil取整函数，构建了单侧AF-EWMA和AC-EWMA控制图以监控泊松一阶整值自回归（INAR（1））过程，并建立二维Markov链模型计算控制图平均运行链长，以此对控制图性能进行了对比分析．计算结果表明，针对均值向上偏移，AF-EWMA图监控性能优于AC-EWMA和AR-EWMA图，同时，AF-EWMA图对控制图初始值的变动具有鲁棒性．
英文摘要：
This paper considers one-sided exponentially weighted moving-average control chart for auto- correlated processes of count data. Based on the floor and ceil rounding function, one-sided AF-EWMA and AC-EWMA control charts are built to monitor the first-order inter-valued auto-correlated process with Poisson count data. Bivariate Markov chain model is used to calculate the average run length of these charts. On the basis of ARL values, performances of the control charts is analyzed and compared. For detecting positive shifts of the mean, it is shown that the performance of AF-EWMA chart is better than that of AC-EWMA and AR-EWMA charts. Besides, AF-EWMA chart is robust to the change of control chart starting value.
同期刊论文项目
同项目期刊论文
Computation of Average Run Length for Residual-based T2 Control Chart for Multivariate Autocorrelate
Online monitoring and fault identification of mean shifts in bivariate processes using decision tree
A robust desirability function method for multi-response surface optimization considering model unce
CUSUM charts for Monitoring Bivariate Zero-Inflated Possion Processes with an Application in the LED
期刊信息
位置：