📞 +91-7667918914 | ✉️ ijireeice@gmail.com
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
← Back to VOLUME 5, ISSUE 3, MARCH 2017

Earth Specific Resistance Estimation from Earth Geology using Decision Trees Classification Algorithm

Ümit Çiğdçem Turhal, Abdullah Büyükışıklar

👁 1 view📥 0 downloads
Share: 𝕏 f in
Abstract: The electrical resistance in an earthing system basically consists of resistance of earthing conductors that is negligible and earth transresistance that depends on earth specific resistance varies with earth geology. In our country, designs are made considering earth specific resistance as 100Ω without making any measurements in most practices because these measurements are time consuming and costly. But this may cause important security gaps. This study is carried out to determine the answer of the question whether earth specific resistance could be determined without making any measurements? In this study geological data-earth specific resistance relation is modelled with decision tree classification algorithms in Weka software environment. The study is performed on the field that is located in Turkey. Estimation results yielded significant outputs. We expect this study to be pioneer for more widespread practices enhancing field diversity.

Keywords: Classification model, data mining, decision tree algorithm, earth specific resistance, earthing system, geological structure.

How to Cite:

[1] Ümit Çiğdçem Turhal, Abdullah Büyükışıklar, “Earth Specific Resistance Estimation from Earth Geology using Decision Trees Classification Algorithm,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2017.5301

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.