Monitoring of an aquatic environment in aquaculture using a MEWMA chart
Monitoring of an aquatic environment in aquaculture using a MEWMA chart
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使用 MEWMA 图监测水产养殖中的水生环境
DOI：
10.1016/j.aquaculture.2019.01.019
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发表时间：
2019
期刊：
影响因子：
4.5
通讯作者：
A. Garcı́a
中科院分区：
文献类型：
--
作者：
S. Mulema;A. Garcı́a
水产养殖中水环境的监测通常通过控制其理化和生物参数来进行。通过每个参数中显示的各个条件来评估过程的全局状态。然而，由这些参数之间的相互依赖引起的数据中的相关结构提供了必须控制的相关信息。因此，数据的复杂结构需要多变量控制方法来探索环境参数的个体和交互影响。为了实现这一目标，本文提出了一种基于多元指数移动平均（MEWMA）图的统计方法，用于监测水产养殖中水生环境的多元结构，特别是莫桑比克的罗非鱼作物。结果表明，调整后的MEWMA图在控制环境参数的一致性和稳定性时更加一致。因此，它可以被认为是监测水产养殖水环境的有效统计方法。
Monitoring an aquatic environment in aquaculture is usually carried out by controlling its physicochemical and biological parameters. The global state of the process is evaluated though the individual conditions shown in each parameter. However, the correlation structure in the data, caused by interdependence between these parameters, provides relevant information which must be controlled. Thus, the complex structure of the data requires a multivariate control method to explore both the individual and interactive effects of the environmental parameters. To achieve this goal, this paper presents a statistical method based on a Multivariate Exponentially Moving Average (MEWMA) chart to monitor the multivariate structure of an aquatic environment in aquaculture, especially in a crop of tilapia in Mozambique. The results show that the adjusted MEWMA chart is more consistent when controlling the conformity and stability of environmental parameters. Therefore, it can be considered an efficient statistical method to monitor an aquatic environment in aquaculture.