过程控制中多维传感器集成的自组织方法

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1005598

D. Sbarbaro, T. Johansen

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引用次数: 1

摘要

多维传感器可以提供有关工业过程运行的大量丰富信息。它们在工业应用的监管层面很受欢迎;然而，它们在控制级别的使用并不常见。根据这类传感器提供的信息设计控制系统尚无标准方法。本文介绍了一种方法。的基础。在自组织地图或Kohonen网络上，用于整合过程控制中多维传感器提供的信息。仿真实例说明了该方法的主要特点和性能。

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A self-organizing approach for integrating multidimensional sensors in process control

Multidimensional sensors can deliver vast and rich information about the operation of industrial processes. They are popular at the supervisory level in industrial applications; however, their use at control level is not very common. There are no standard methodologies to design a control system based on the information provided by this type of sensors. This paper describes an approach,. based. on self-organizing maps or Kohonen's networks, for integrating the information provided by multidimensional sensors in process control. A simulated example illustrates the main characteristics and performance of the proposed approach.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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