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.
NOTE: This is just an abstract of the application summary. The entire summary is available for download in Word format by clicking here.
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