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Architecture of a distributed system for acquiring knowledge in supporting decision making in operation/maintenance of electric power plants

机译:用于获取知识以支持发电厂运行/维护决策的分布式系统的体系结构

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This paper presents a new approach to acquire a knowledge base (MKB) of continuous processes through a distributed system. The proposed methodology combines MKB and case-based reasoning (CBR) for adaptive knowledge base creation, maintenance and updating trough the use of an architecture with the following aspects: i) distributed architecture network; ii) real-time operation; iii) advanced visual interface. Although originally developed for use in hydroelectric power plants it is useful for other industrial processes in mission-critical with high cost of interruption. This work presents the system requirements, the aspects of the case base formation, the CBR cycle and the believe network.
机译:本文提出了一种通过分布式系统获取连续过程的知识库(MKB)的新方法。所提出的方法结合了MKB和基于案例的推理(CBR)来通过以下方面使用一种体系结构来自适应地创建,维护和更新知识库:i)分布式体系结构网络; ii)实时操作; iii)先进的视觉界面。尽管最初是为水力发电厂开发的,但对于任务关键型且中断成本高的其他工业过程很有用。这项工作提出了系统要求,案例库形成,CBR周期和信任网络等方面。

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