Developing a fault prediction model for wired copper networks under precipitation.

Article


Moghaddam, Mahboobeh, Nejad, Hamid Shobeiri, Mesbah, Mahmoud and Hickman, Mark. 2018. "Developing a fault prediction model for wired copper networks under precipitation." International Journal of Critical Infrastructures. 14 (3), pp. 268-293. https://doi.org/10.1504/IJCIS.2018.094412
Article Title

Developing a fault prediction model for wired copper networks under precipitation.

ERA Journal ID41234
Article CategoryArticle
AuthorsMoghaddam, Mahboobeh, Nejad, Hamid Shobeiri, Mesbah, Mahmoud and Hickman, Mark
Journal TitleInternational Journal of Critical Infrastructures
Journal Citation14 (3), pp. 268-293
Number of Pages17
Year2018
PublisherInderscience Publishers
Place of PublicationSwitzerland
ISSN1475-3219
1741-8038
Digital Object Identifier (DOI)https://doi.org/10.1504/IJCIS.2018.094412
Web Address (URL)https://www.inderscienceonline.com/doi/abs/10.1504/IJCIS.2018.094412
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.

Keywordsaging infrastructure; network management; fault prediction model; statistical analysis; wired copper networks; rain effect
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400699. Communications engineering not elsewhere classified
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Byline AffiliationsUniversity of Queensland
Griffith University
Amirkabir University of Technology, Iran
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