Medium voltage cable fault and health assessment through advanced analytics

This paper elaborates on innovative approaches by OrxaGrid, a leader in IoT, T&M, and analytics for power grids, focusing on enhancing the health and reliability of underground cables. These critical assets, vital for robust infrastructure, face increasing demands from emerging technologies such as electric vehicles. By integrating advanced analytics and machine learning with traditional monitoring systems, OrxaGrid provides actionable insights, significantly improving operational efficiency and reducing outage incidents. A case study with a European Distribution System Operator highlights the predictive success of our methodologies, achieving key performance metrics with precision, recall, and F1-score above 0.79.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.1403
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Medium voltage cable fault and health assessment through advanced analytics

Ricardo Prata, Sanjeev Kumar, A.D. Kulkarni, Pratik Bajaria
IET conference proceedings.
Power Systems Fault Detection
article

Medium voltage cable fault and health assessment through advanced analytics

Ricardo Prata, Sanjeev Kumar, A.D. Kulkarni, Pratik Bajaria
article en

Abstract

This paper elaborates on innovative approaches by OrxaGrid, a leader in IoT, T&M, and analytics for power grids, focusing on enhancing the health and reliability of underground cables. These critical assets, vital for robust infrastructure, face increasing demands from emerging technologies such as electric vehicles. By integrating advanced analytics and machine learning with traditional monitoring systems, OrxaGrid provides actionable insights, significantly improving operational efficiency and reducing outage incidents. A case study with a European Distribution System Operator highlights the predictive success of our methodologies, achieving key performance metrics with precision, recall, and F1-score above 0.79.

IET conference proceedings.Vol. 2025(14)
Orion Corporation (United Kingdom) (GB)
Openalex Percentile: Top 63%
Power Systems Fault Detection
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