Twisted Pair Cable Fault Diagnosis via Random Forest Machine Learning

Author:

B. Ghazali N.,C. Seman F.,Isa K.,N. Ramli K.,Z. Abidin Z.,M. Mustam S.,A. Haek M.,N. Z. Abidin A.,Asrokin A.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference24 articles.

1. Copper line Pre-qualification assessment for high-speed broadband in Malaysia;Hashim;Journal of Advanced Research in Applied Mechanics,2020

2. Virtual signal-integrity verification tool for copper twisted-pairs using TDR;Chuah;IET Science, Measurement & Technology,2019

3. Backscattering in twisted-pair nonhomogeneous transmission lines;Fertner;IEEE Transactions on Microwave Theory and Techniques,June 2018

4. Impact of cable bleeding into RLCG of twisted pair copper cable and achievable Bit rate;Alam,2018

5. Fault detection, classification and location for transmission lines and distribution systems: A review on the methods;Chen;High Voltage,2016

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