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
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Queensland
Griffith University
Amirkabir University of Technology, Iran
Permalink -

https://research.usq.edu.au/item/yzy7w/developing-a-fault-prediction-model-for-wired-copper-networks-under-precipitation

  • 22
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Comprehensive analysis of little leaf disease incidence and resistance in eggplant
Muthusamy, Muthusamy, Yogiraj, Gawande Priya, Elaiyabharath, Thiyagarajan, Jesu, Bonipas Antony John, Johnson, Iruthayasamy, Jaffer, Shajith Basha, Dhanabalan, Shanmuga Priya, Boopathi, Narayanan Manikanda, Marimuthu, Subbaiyan, Shobeiri Nejad, Hamid, Adorada, Dante L. and Periyannan, Sambasivam. 2024. "Comprehensive analysis of little leaf disease incidence and resistance in eggplant." BMC Plant Biology. 24, p. 576. https://doi.org/10.1186/s12870-024-05257-4
In vitro screening of topical formulation excipients for epithelial toxicity in cancerous and non-cancerous cell lines
Forouz, Farzaneh, Mohammed, Yousuf, Shobeiri Nejad, Hamid S. A., Roberts, Michael S. and Grice, Jeffrey E.. 2023. "In vitro screening of topical formulation excipients for epithelial toxicity in cancerous and non-cancerous cell lines ." EXCLI journal . 22, pp. 1173-1199. https://doi.org/10.17179/excli2023-6072
A new mathematical model to determine loss in interconnected industry systems
Nejad, Seyed Abdelhamid Shobeiri, Tularam, Gurudeo Anand and McBroom, James. 2014. "A new mathematical model to determine loss in interconnected industry systems." European Journal of Business and Social Sciences. 2 (10), pp. 33-62.
Modeling tourist arrivals using time series analysis: Evidence from Australia
Tularam, Gurudeo Anand, Wong, Victor Siew Howe and Nejad, Seyed Abdelhamid Shobeiri. 2012. "Modeling tourist arrivals using time series analysis: Evidence from Australia." Journal of Mathematics and Statistics. 8 (3), pp. 348-360. https://doi.org/10.3844/jmssp.2012.348.360
Modeling Tourist Arrivals in Destination Countries: An Application to Australian Tourism
Shobeiri Nejad, S. A.H. and Tularam, Gurudeo Anand. 2010. "Modeling Tourist Arrivals in Destination Countries: An Application to Australian Tourism." Journal of Mathematics and Statistics. 6 (4), pp. 431-441. https://doi.org/10.3844/jmssp.2010.431.441