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Developing a fault prediction model for wired copper networks under precipitation

Author

Listed:
  • Mahboobeh Moghaddam
  • Hamid Shobeiri Nejad
  • Mahmoud Mesbah
  • Mark Hickman

Abstract

Telecommunication companies who face challenges of aging infrastructure need to balance the cost of maintenance with that of providing their services within a service level guarantee. For Telstra, the largest telecommunication company in Australia, this balance is achieved by adopting a passive approach to handle the faults that occur in the network. Rather than actively preventing faults, technicians are assigned to fix faults in a timely manner. However, to achieve an efficient and timely technician assignment, a prediction model is needed to advise planners of the potential number of faults in the network. From statistical analysis, we have developed a fault prediction model by investigating 29 months of data of faults. Our prediction model shows that rain has a significant impact on the number of faults in many areas across Australia, which can be the result of the aging infrastructure.

Suggested Citation

  • Mahboobeh Moghaddam & Hamid Shobeiri Nejad & Mahmoud Mesbah & Mark Hickman, 2018. "Developing a fault prediction model for wired copper networks under precipitation," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 14(3), pages 268-293.
    • Handle: RePEc:ids:ijcist:v:14:y:2018:i:3:p:268-293
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