Neural networks for fault-prediction in a telecommunications network

Jaudet, M.; Iqbal, N.; Hussain, A.

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.

Citation

Jaudet, M., Iqbal, N., & Hussain, A. (2004, December). Neural networks for fault-prediction in a telecommunications network. Presented at 8th International Multitopic Conference, 2004, Lahore, Pakistan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 8th International Multitopic Conference, 2004
• Start Date: Dec 24, 2004
• End Date: Dec 26, 2004
• Online Publication Date: Aug 15, 2005
• Publication Date: 2004
• Deposit Date: Oct 17, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 315-320
• Book Title: 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004.
• ISBN: 0-7803-8680-9
• DOI: https://doi.org/10.1109/INMIC.2004.1492896
• Public URL: http://researchrepository.napier.ac.uk/Output/1793715