Skip to main navigation Skip to search Skip to main content

Neural networks for fault-prediction in a telecommunications network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

The main topic of this paper is fault prediction from large alarm records stored in different databases of non-cooperating network management systems. We have chosen the countrywide data network of Pakistan Telecom (PTCL) as a basis for the investigation of neural network based algorithms to predict faults before they stop a large number of users' circuits from normal operation. The main problems addressed are the evaluation of alarms, virtual reconstruction of the network and development of tools to overcome the interoperability issues. The motivation behind this work is to assist human operators and minimize the cost of the alarm evaluation process.

Original languageEnglish
Title of host publicationProceedings of INMIC 2004 - 8th International Multitopic Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages315-320
Number of pages6
ISBN (Electronic)0780386809, 9780780386808
DOIs
StatePublished - 2004
Externally publishedYes
Event8th International Multitopic Conference, INMIC 2004 - Lahore, Pakistan
Duration: 24 Dec 200426 Dec 2004

Publication series

NameProceedings of INMIC 2004 - 8th International Multitopic Conference

Conference

Conference8th International Multitopic Conference, INMIC 2004
Country/TerritoryPakistan
CityLahore
Period24/12/0426/12/04

Bibliographical note

Publisher Copyright:
© 2004 IEEE.

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science

Fingerprint

Dive into the research topics of 'Neural networks for fault-prediction in a telecommunications network'. Together they form a unique fingerprint.

Cite this