An AI Method to improve Fault Analysis in Local Access Networks

Rigg S., Tindle J., Brewis S. Proceedings Volume 2
World Multiconference on Systems, Cybernetics and Informatics and Systems, Cybernetics and Informatics, SCI'98
4th International Conference on Information Systems, Analysis and Synthesis, ISAS'98 July 12-16, 1998, Orlando, Florida USA.
Organized by International Institute of Informatics and Systems, IIIS
ISBN 980-07-5079-7, Copyright 1998 IIIS

The application of IT technologies that make use of the telephone network is dramatically increasing. There is a growing demand to rapidly detect and repair faulty telecommunication lines. This paper identifies a method to anticipate and localize possible fault areas within the Local Access Copper Networks (LACNs). The system employs a proactive approach to identify potential faults within the network. Therefore it is possible to replace plant before an actual fault state occurs. The paper outlines a typical network topology, overview of artificial neural networks, current anticipation and localization procedures and suggests an artificial intelligent technique for a new anticipation and localization method. Ultimately these methods may lead to tools being developed to aid an expert and provide better guidance for field maintenance engineers to replace faulty plant.

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