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首页> 外文期刊>International journal of quality, statistics, & reliability >Effectively Monitoring the Performance ofIntegrated Process Control Systems underNonstationary Disturbances
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Effectively Monitoring the Performance ofIntegrated Process Control Systems underNonstationary Disturbances

机译：在非平稳扰动下有效监控集成过程控制系统的性能

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摘要

The objective of this paper is to quantify the effect of autocorrelation coefficients, shift magnitude, types of control charts, types of controllers, and types of monitored signals on a control system. Statistical process control (SPC) and automatic process control {APC) were studied under non-stationary stochastic disturbances characterized by the integrated moving average model, AR1MA (0,1,1). A process model was simulated to achieve two responses, mean squared error (MSB) and average run length (ARL). A factorial design experiment was conducted to analyze the simulated results. The results revealed that not only shift magnitude and the level of autocorrelation coefficients, but also the interaction between these two factors, affected the integrated system performance. It was also found that the most appropriate combination of SPC and APC is the utilization of the minimum mean squared error (MMSE) controller with the Shewhart moving range (MR) chart, while monitoring the control signal (X) from the controller. Therefore, integrating SPC and APC can improve process manufacturing, but the performance of the integrated system is significantly affected by process autocorrelation. Therefore, if the performance of the integrated system under non-stationary disturbances is correctly characterized, practitioners will have guidelines for achieving the highest possible performance potential when integrating SPC and APC.
机译：本文的目的是量化自相关系数，移位幅度，控制图类型，控制器类型以及监视信号类型对控制系统的影响。研究了在非平稳随机扰动下的统计过程控制（SPC）和自动过程控制（APC），其特征在于集成移动平均模型AR1MA（0,1,1）。对过程模型进行了仿真，以实现两个响应，均方误差（MSB）和平均游程长度（ARL）。进行了析因设计实验以分析仿真结果。结果表明，不仅偏移幅度和自相关系数的水平，而且这两个因素之间的相互作用都影响了集成系统的性能。还发现，SPC和APC的最合适组合是利用最小均方误差（MMSE）控制器和Shewhart移动范围（MR）图，同时监视来自控制器的控制信号（X）。因此，集成SPC和APC可以改善过程制造，但是集成系统的性能会受到过程自相关的显着影响。因此，如果正确地描述了集成系统在非平稳干扰下的性能，则从业人员将具有在集成SPC和APC时实现最大可能性能的指南。

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