System regulation by the combination of the PCA and the fuzzy logic

机译：通过PCA和模糊逻辑的组合进行系统调节

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This paper proposes a monitoring and regulation approach by combining main component analysis and fuzzy logic. This approach is applied to a motorway history of four variables: traffic density, flow rate, average speed and occupancy rate, and 900 observations. The ACP is used to detect defects by the statistics of the quadratic predictive error SPE and the Hotteling method. The calculation of contributions makes it possible to isolate the defects: to identify defective variables. In our example the defective variables are the flow rate and the average speed. The purpose of fuzzy logic is to develop an access control strategy to eliminate and / or reduce major problems that are beyond the proper functioning.

机译：本文提出了一种将主成分分析与模糊逻辑相结合的监控方法。该方法适用于具有四个变量的高速公路历史记录：交通密度，流量，平均速度和占用率以及900个观测值。 ACP用于通过二次预测误差SPE和Hotteling方法的统计来检测缺陷。贡献的计算可以隔离缺陷：识别缺陷变量。在我们的示例中，有缺陷的变量是流速和平均速度。模糊逻辑的目的是开发一种访问控制策略，以消除和/或减少超出正常功能范围的主要问题。

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来源
《International Conference on Engineering MIS》|2017年|1-6|共6页
会议地点 Monastir(TN)
作者
Belaîd Mouna; Hanen Chaouch; Lotfi Nabli;
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Electric engineering department Engineers school of Monastir Ibn aljazzar city University of Monastir;

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Tools; Fuzzy logic; Principal component analysis; Monitoring; Roads; Eigenvalues and eigenfunctions; Matrix decomposition;

机译：工具；模糊逻辑;主成分分析；监控；道路；特征值和特征函数；矩阵分解;

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4. System regulation by the combination of the PCA and the fuzzy logic [C] . Bela?d Mouna, Hanen Chaouch, Lotfi Nabli International Conference on Engineering MIS . 2017

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System regulation by the combination of the PCA and the fuzzy logic

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