Process Capability Index as an indicator of input signal quality of the rock disintegration process

V. Baranova, J. Futó, L. Landryová
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引用次数: 1

Abstract

The process of the disintegration of rocks, the mechanisms of mechanical disintegration and disconnecting tool wear has been studied for more than thirty years due to significant changes in the field of science and technology which cannot now remain without response. There were especially computers, sensors, monitoring and data archiving technologies, which have brought into this area of research new incentives. With the development of hardware and software research the possibility of fast data processing was again extended, and subsequently the use of appropriate algorithms enabled the options to proceed to identification and control of the system in real time. Since the stability and the course of the values of the input variables in the time crucially influence the process experiment a suitable method for evaluating the measured values was researched. This paper proposes the measured values of the process input parameters would be processed through the Process Capability Index Cpm using a linear filter with a forgetting factor. It gives examples of such processed data, which were obtained in experiments with different characteristics (random variable) of input variables. They are resulting from control structural changes and from the use of new technical means on a test stand.
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过程能力指数作为岩石崩解过程输入信号质量的指标
由于科学技术领域的重大变化,岩石的崩解过程、机械崩解机制和断裂工具磨损的研究已经进行了三十多年。特别是计算机、传感器、监测和数据存档技术,给这一研究领域带来了新的激励。随着硬件和软件研究的发展,快速数据处理的可能性再次扩大,随后使用适当的算法使选择能够进行实时识别和控制系统。由于输入变量值在时间上的稳定性和变化对过程实验有重要影响,因此研究了一种合适的测量值评价方法。本文提出将过程输入参数的实测值用带遗忘因子的线性滤波器通过过程能力指数(Cpm)进行处理。文中给出了用输入变量的不同特征(随机变量)进行实验得到的数据处理实例。它们是由于控制结构的改变和试验台上新技术手段的使用而产生的。
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