Developing a fault prediction model for wired copper networks under precipitation.
Article
Article Title | Developing a fault prediction model for wired copper networks under precipitation. |
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ERA Journal ID | 41234 |
Article Category | Article |
Authors | Moghaddam, Mahboobeh, Nejad, Hamid Shobeiri, Mesbah, Mahmoud and Hickman, Mark |
Journal Title | International Journal of Critical Infrastructures |
Journal Citation | 14 (3), pp. 268-293 |
Number of Pages | 17 |
Year | 2018 |
Publisher | Inderscience Publishers |
Place of Publication | Switzerland |
ISSN | 1475-3219 |
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. |
Keywords | aging infrastructure; network management; fault prediction model; statistical analysis; wired copper networks; rain effect |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400699. Communications engineering not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Queensland |
Griffith University | |
Amirkabir University of Technology, Iran |
https://research.usq.edu.au/item/yzy7w/developing-a-fault-prediction-model-for-wired-copper-networks-under-precipitation
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