On Moving Averages, Histograms and Time-DependentRates for Online Measurement
On Moving Averages, Histograms and Time-DependentRates for Online Measurement
复制标题
在线测量的移动平均线、直方图和时间相关率
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
F. Hauser
中科院分区：
文献类型：
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作者：
M. Menth;F. Hauser
移动平均（MAS）经常在自适应系统中用于监视操作过程中的状态。它们的输出用作控制目的的输入。有多种能力，复杂性和参数不同的方法。我们为MAS的定义提出了一个框架，并制定了性能标准，例如内存的概念，该概念允许以可比的方式参数化不同的方法。此外，我们确定了常用方法的缺陷并提出更正。我们将MAS扩展到移动的直方图，从而有助于时间相关分位数的近似。我们进一步扩展了框架以评估测量，讨论各种方法，并提出了一种新的方法，该方法揭示了出色的特性。提出的概念有助于可视化时间依赖性数据，并简化技术控制系统的设计，参数化和评估。
Moving averages (MAs) are often used in adaptive systems to monitor the state during operation. Their output is used as input for control purposes. There are multiple methods with different ability, complexity, and parameters. We propose a framework for the definition of MAs and develop performance criteria, e.g., the concept of memory, that allow to parameterize different methods in a comparable way. Moreover, we identify deficiencies of frequently used methods and propose corrections. We extend MAs to moving histograms which facilitate the approximation of time-dependent quantiles. We further extend the framework to rate measurement, discuss various approaches, and propose a novel method which reveals excellent properties. The proposed concepts help to visualize time-dependent data and to simplify design, parametrization, and evaluation of technical control systems.