Two real-time expert systems for the monitoring and maintenance of digital exchanges

Proceedings Fourth International Conference on Software Engineering and Knowledge Engineering Pub Date : 1992-06-15 DOI:10.1109/SEKE.1992.227967

Francisco Alcaraz, Marlon Núñez, Alberto Hernández, José L. Blazquez

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Abstract

The ever-increasing complexity of the elements that constitute a telecommunications network as well as the amount of knowledge and experience needed to operate and maintain these elements, demand maintenance tools that are both powerful enough to perform these tasks and easy to learn and modify. Thus, the use of a knowledge-based expert systems (KBES) methodology is required. This paper presents UFMS12 and UFMAXE, two real-time expert systems for performing automatic corrective maintenance of large digital exchanges: Ericsson's AXE and Alcatel's S12. These expert systems can repair automatically a fault dialoguing with the affected exchange or they can guide the operator in manual interventions. These developments produced a shell, called SIGMA (Sistema Generico para Mantenimiento), based on a causal model. This paper presents the functionality of UFMAXE and UFMS12, and a description of the architecture of the SIGMA shell, designed for representing the maintenance knowledge of large and complex digital systems.<>

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两个实时专家系统，用于监控和维护数字交换机

构成电信网络的要素的复杂性不断增加，以及操作和维护这些要素所需的知识和经验的数量，要求维护工具既强大到足以执行这些任务，又易于学习和修改。因此，需要使用基于知识的专家系统(KBES)方法。本文介绍了UFMS12和ufmmax2个实时专家系统，用于执行大型数字交换机的自动纠错维护:爱立信的AXE和阿尔卡特的S12。这些专家系统可以与受影响的交换机对话自动修复故障，也可以指导操作员进行人工干预。这些发展产生了一个基于因果模型的外壳，称为SIGMA (Sistema Generico para Mantenimiento)。本文介绍了ufmxe和UFMS12的功能，并描述了用于表示大型复杂数字系统的维护知识的SIGMA外壳的体系结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings Fourth International Conference on Software Engineering and Knowledge Engineering

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