Twisted pair cable fault diagnosis via random forest machine learning

Twisted pair cable fault diagnosis via random forest machine learning

Applying the fault diagnosis techniques to twisted pair copper cable is beneficial to improve the stability and reliability of internet access in Digital Subscriber Line (DSL) Access Network System. The network performance depends on the occurrence of cable fault along the copper cable. Currently...

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Bibliographic Details
Main Authors: Ghazali, N. B., Seman, F. C., Isa, K., Ramli, K. N., Z. Abidin, Z., Mustam, S. M., Haek, Haek, Z. Abidin, A. N., Asrokin, A.
Format: Article
Language:English
Published: Tech Science Press 2022
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.uthm.edu.my/6899/1/J14092_e1740ec39d908019e6fd019d22b17343.pdf

Internet

http://eprints.uthm.edu.my/6899/1/J14092_e1740ec39d908019e6fd019d22b17343.pdf

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