Using the ARTIST approach for diagnosing power transmission networks

R. Leitch, H. Freitag, A. Stefanini, G. Tornielli
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引用次数: 7

Abstract

Model-based diagnosis is regarded by many as a way to overcome the limitations of first-generation knowledge-based systems which perform fault classification by means of empirical symptom-failure associations. Many different approaches to model-based diagnosis exist. The ESPRIT ARTIST project, focusing on the development of model-based techniques for diagnosis of industrial systems, has tried to integrate these approaches within a common generic architecture so that a given application system could be generated by composing a particular diagnostic system from a set of predeveloped and hence reusable modules. There is an overview of the main results of the ARTIST project, its generic architecture and the three diagnostic systems developed and tested within the project. An industrial application to management of electrical transmission networks is presented.
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用ARTIST方法诊断输电网
基于模型的诊断被许多人认为是克服第一代基于知识的系统的局限性的一种方法,该系统通过经验症状-故障关联来进行故障分类。存在许多不同的基于模型的诊断方法。ESPRIT ARTIST项目的重点是开发用于工业系统诊断的基于模型的技术,它试图将这些方法集成到一个通用的体系结构中,这样就可以通过一组预先开发的可重用模块组成一个特定的诊断系统来生成给定的应用系统。本文概述了ARTIST项目的主要成果、其通用架构以及在项目中开发和测试的三种诊断系统。介绍了在输电网管理中的一个工业应用。
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