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.
Authors
- Ricardo Prata
- Sanjeev Kumar (ORCID: https://orcid.org/0000-0002-1783-973X)
- A.D. Kulkarni (ORCID: https://orcid.org/0009-0001-5069-4923)
- Pratik Bajaria
Institutions
- Orion Corporation (United Kingdom) (GB)
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